Jin Wu

206 papers receiving 2.6k citations

Peers

Jin Wu
Comparison fields: 5 of 132
  • Aerospace Engineering 1.2k
  • Computer Vision and Pattern Recognition 570
  • Control and Systems Engineering 537
  • Media Technology 199
  • Oceanography 206
Replace Xinlong Wang with:
Xinlong Wang China
Jun Zhang China
Patrick Y. Hwang United States
Xiang Li China
Yang Cheng United States
Qun Zhang China
Gongguo Tang United States
Sanjeev Arulampalam Australia
W. Wiesbeck Germany
Jin Wu relative to Xinlong Wang China Xinlong Wang's profile →
Citations per field
00.5×1.5×2.2×
Xinlong Wang · 1×
Citations per year

Countries citing papers authored by Jin Wu

Since Specialization
Citations

This map shows the geographic impact of Jin Wu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jin Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Wu more than expected).

Fields of papers citing papers by Jin Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jin Wu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jin Wu. The network helps show where Jin Wu may publish in the future.

Co-authors

The 25 scholars most cited alongside Jin Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jin Wu Line = papers co-authored together Jin Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 240 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016173
2 201781
3 201672
4 202271
5 201968
6 202267
7 201962
8 200161
9 202160
10 201651
11 202150
12 199647
13 202146
14 201544
15 202241
16 200636
17 201536
18 201734
19 202233
20 202231

About Jin Wu

Jin Wu is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition, Control and Systems Engineering, Electrical and Electronic Engineering and Artificial Intelligence, having authored 240 papers that have together received 2.7k indexed citations. Recurring topics across this work include Inertial Sensor and Navigation (52 papers), Robotics and Sensor-Based Localization (34 papers), Adaptive Control of Nonlinear Systems (22 papers), Geophysics and Gravity Measurements (22 papers), Target Tracking and Data Fusion in Sensor Networks (19 papers), Advanced Vision and Imaging (17 papers), Indoor and Outdoor Localization Technologies (14 papers) and Advanced Image Fusion Techniques (13 papers). The work is most often cited by research in Aerospace Engineering (1.2k citations), Computer Vision and Pattern Recognition (570 citations), Control and Systems Engineering (537 citations), Media Technology (199 citations) and Oceanography (206 citations). Jin Wu has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Zebo Zhou, Chengxi Zhang, Hassen Fourati, Ming Liu, Bruce A. Shapiro, Rui Li, Jingjun Chen, Ming‐Zhe Dai, Jiancheng Fang and Yi Jiang. Their work appears in journals such as IEEE Transactions on Instrumentation and Measurement, Aerospace Science and Technology, IEEE Sensors Journal, IEEE/ASME Transactions on Mechatronics and IEEE Transactions on Automation Science and Engineering.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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