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Autonomous underwater vehicles

Uncrewed submarines and gliders that navigate without a tether.

China leads autonomous underwater vehicles research, with 71.7% of the 10% most cited papers published 2021–2025; the United States is second with 3.7%.

Data: OpenAlex, research published 2021–2025, pulled 23 October 2026.

CN
FirstChina71.7%
US
SecondUnited States3.7%
19.2×lead, by share of the 10% most cited papers, 2021–2025

Standings

Share of the 10% most cited papers, 2021–2025; 382 papers. Source: OpenAlex, pulled 23 October 2026. Download these numbers Method

Year by year

About 76 papers a year. Single-year moves are noise.

China

020406080% China 69.2%

Everyone else, on a larger scale

0246% 20212022202320242025 United States 2.8%United Kingdom 2.6%Italy 2.5%South Korea 0.9%Iran 0.6%

Share of the 10% most cited papers published in each year. Source: OpenAlex, pulled 23 October 2026. Download these numbers Method

Inside the field

Always the top 10%Pilot

Each paper sorted into one sub-area by an AI model reading its title and abstract, then credited as usual. On 200 hand-labelled papers it chose the same sub-area, or a defensible second, 92% of the time.

Sub-areaPapersFirstSecondThird
Trajectory tracking and motion control78CNChina75.7%GBUnited Kingdom4.0%FRFrance2.1%
Multi-vehicle formation and cooperative control62CNChina81.7%IRIran5.6%USUnited States4.3%
Path planning and obstacle avoidance61CNChina81.2%INIndia2.6%CACanada2.2%
Wireless charging and docking31CNChina77.6%HKHong Kong4.3%USUnited States3.9%
Navigation and localisation28CNChina53.9%ILIsrael10.7%USUnited States8.0%
Sensing, perception and inspection missions (sonar, vision)27CNChina65.0%ITItaly8.1%USUnited States4.1%
Underwater communication networks and data collection26CNChina52.4%USUnited States7.7%KRSouth Korea7.6%
Hull design, hydrodynamics and underwater gliders17CNChina79.4%GBUnited Kingdom5.9%TRTurkey5.9%
Bio-inspired underwater robots15CNChina69.0%USUnited States6.7%KRSouth Korea6.7%

Share of each sub-area's papers in the top 10%. Source: OpenAlex, pulled 23 October 2026. Download these numbers Method

Earlier and recent

The same top 10%, split into 2021–2023 and 2024–2025.

FallingRising2021–20232024–2025Change
CNChina 70.9%72.6%+1.8 pts
USUnited States 5.1%2.4%−2.7 pts
GBUnited Kingdom 1.6%3.2%+1.6 pts
ITItaly 1.5%2.0%+0.5 pts
KRSouth Korea 1.7%1.5%−0.2 pts
IRIran 2.3%0.7%−1.6 pts
INIndia 1.5%1.2%−0.3 pts
CACanada 1.5%0.5%−1.0 pts

Greyed rows rest on fewer than five papers of credit in one period.

Share of the 10% most cited papers: 193 papers in 2021–2023, 189 in 2024–2025. Source: OpenAlex, pulled 23 October 2026. Download these numbers Method

2026 so far: a different count

Not the most cited papers: every 2026 paper matched so far (904), and a paper counts in full for each country on it. This year's papers are too new to rank by citations, so these shares cannot be compared with the ones above.

  1. CNChina72.1%of 2026 papers have an author here
  2. USUnited States5.1%of 2026 papers have an author here
  3. INIndia3.9%of 2026 papers have an author here
  4. GBUnited Kingdom3.1%of 2026 papers have an author here
  5. KRSouth Korea2.9%of 2026 papers have an author here

With home citations removed

Home bias removed

Removes only the home citations above what the country's share of the field predicts. This is the fair test.

All citationsBias removedAll citationsBias removed
CNChina 71.7%71.9%
USUnited States 3.7%3.8%
GBUnited Kingdom 2.4%2.4%
ITItaly 1.7%1.4%
KRSouth Korea 1.6%1.5%
IRIran 1.5%1.4%

Every home citation removed

Removes all citations from a paper's own countries. A country that writes most of a field loses most, whatever its habits.

All citationsForeign onlyAll citationsForeign only
CNChina 71.7%27.4%
USUnited States 3.7%10.8%
GBUnited Kingdom 2.4%5.5%
ITItaly 1.7%4.8%
KRSouth Korea 1.6%3.7%
IRIran 1.5%4.3%

Share of the 10% most cited papers, 2021–2025; 382 papers in each version; both panels on the same scale. Source: OpenAlex, pulled 23 October 2026. Download these numbers Method

Who cites the top papers

How much more often a country's top papers are cited from home than its size predicts. Expected is the country's share of all papers in the field; the bar is the excess, in percentage points. Home citers include authors citing their own earlier work.

HomeExpectedExcess
CNChina 79.7%66.7%+13.0
USUnited States 65.1%7.0%+58.1
GBUnited Kingdom 40.5%3.4%+37.1
ITItaly 21.8%2.1%+19.7
KRSouth Korea 36.8%2.8%+34.0
IRIran 9.9%1.9%+8.0
INIndia 32.9%3.2%+29.7
CACanada 59.0%1.7%+57.3

Every paper in the top 10%, counted once per citing paper. Source: OpenAlex, pulled 23 October 2026. Download these numbers Method

Behind the share

Institutions with the most credit

  1. 1CNHarbin Engineering University9.8%
  2. 2CNTianjin University3.4%
  3. 3CNHuazhong University of Science and Technology3.1%
  4. 4CNOcean University of China3.1%
  5. 5CNDalian Maritime University3.1%
  6. 6CNZhejiang University3.0%
  7. 7CNShanghai Jiao Tong University2.9%
  8. 8CNHarbin Institute of Technology2.7%
  9. 9CNNorthwestern Polytechnical University2.7%
  10. 10CNTsinghua University1.9%

Share of the top 10%. Institutions across all 45 technologies

Who does the work

SectorAllCNUSGB
Universities86.1%
88.7%
77.3%
81.9%
Research facilities9.7%
7.4%
10.9%
15.4%
Government labs2.6%
3.2%
0%
0%
Other0.6%
0%
4.5%
0%

Share of credit by type of institution, overall and for the three leading countries.

Across borders

23.8% of the top 10% have authors in more than one country.

  1. CNUSChina with United States21
  2. CNGBChina with United Kingdom6
  3. CNHKChina with Hong Kong6
  4. CACNCanada with China6
  5. CNKRChina with South Korea5

Most frequent pairings, by number of shared papers.

The papers behind the numbers

The five most cited papers this definition catches. If one looks out of place, the definition needs work.

  1. 467citations
  2. 378citations
  3. 366citations
  4. 338citations
  5. 318citations

Questions

Which country leads autonomous underwater vehicles research?

China leads autonomous underwater vehicles research, with 71.7% of the 10% most cited papers published 2021–2025; the United States is second with 3.7%. China is also first among the 1% most cited papers, with 62.2%.

Which countries lead autonomous underwater vehicles research after China and the US?

Leaving the two aside, the United Kingdom (2.4%), Italy (1.7%) and South Korea (1.6%) have the largest shares of the 10% most cited papers, 2021–2025.

Is China's lead growing?

China's share went from 70.9% in 2021–2023 to 72.6% in 2024–2025; the United States' from 5.1% in 2021–2023 to 2.4% in 2024–2025.

How is autonomous underwater vehicles research measured here?

Each country's share of the 382 papers in the 10% most cited of the 3,789 autonomous underwater vehicles papers published 2021–2025, with each paper's credit split between its authors' countries. The definition and the five most cited papers are below.

More in space, air and defence

The most technologically advanced countries, and is China ahead of the US?

How this technology is defined

A paper counts if its title or abstract matches the search below. Articles in core journals and proceedings only; retracted papers are excluded.

"autonomous underwater vehicle" OR "unmanned underwater vehicle" OR "underwater glider" OR "underwater robot" OR AUV

and its main topic in OpenAlex is one of: Underwater Vehicles and Communication Systems; Distributed Control Multi-Agent Systems; Biomimetic flight and propulsion mechanisms; Robotic Path Planning Algorithms; Ship Hydrodynamics and Maneuverability; Underwater Acoustics Research; Reinforcement Learning in Robotics; Adaptive Control of Nonlinear Systems; Inertial Sensor and Navigation; Wireless Power Transfer Systems. The topic check removes papers that only mention the technology.

Papers matched, 2021–2025
3,789
In the top 10%
382
In the top 1%
40
Countries with credit
44
Credit with no known country
2.5%
Every one of the 495 most cited papers was checked for relevance; 15 were left out as not about autonomous underwater vehicles

The most cited of those left out:

  • Review of Autonomous Path Planning Algorithms for Mobile Robots322 citations
  • A Review of Path-Planning Approaches for Multiple Mobile Robots162 citations
  • A survey on energy efficiency in underwater wireless communications140 citations
  • A Survey on Underwater Computer Vision119 citations
  • Towards the internet of underwater things: a comprehensive survey112 citations
  • A Survey of Multi-Agent Systems on Distributed Formation Control101 citations
  • Co-Design of Fault Detection and Consensus Control Protocol for Multi-Agent Systems Under Hidden DoS Attack98 citations
  • TargetTree-RRT*: Continuous-Curvature Path Planning Algorithm for Autonomous Parking in Complex Environments74 citations
  • Event-Triggered Adaptive Command Filtered Bipartite Finite-Time Tracking Control of Nonlinear Coopetition MASs With Time-Varying Disturbances55 citations
  • Long-Range Underwater Acoustic Channel Estimation37 citations
  • Distributed Output Feedback Prescribed Performance Control for High-Order Nonlinear Multi-Agent Systems30 citations
  • Multi-Scale Marine Object Detection in Side-Scan Sonar Images Based on BES-YOLO29 citations

Definition version 0.5, pilot. It is a plain text file: copy it, change it, rerun it.