Junhe Wan

514 citations
38 papers · 381 · h-index 11

Impact in

    • Underwater Vehicles and Communication Systems
    • Maritime Navigation and Safety
    • Adaptive Control of Nonlinear Systems
    • Fault Detection and Control Systems
    • Control and Dynamics of Mobile Robots
    • Machine Fault Diagnosis Techniques

Papers in

Junhe Wan

36 papers receiving 379 citations

Peers

Junhe Wan
Comparison fields: 5 of 53
  • Ocean Engineering 170
  • Control and Systems Engineering 218
  • Computer Vision and Pattern Recognition 85
  • Aerospace Engineering 62
  • Energy Engineering and Power Technology 5
Replace Anna Witkowska with:
Anna Witkowska Poland
Zhongjiu Zheng China
Ali Awada Lebanon
Jiyong Li China
Yong Dai China
Dianrui Wang China
José Paulo V. S. Cunha Brazil
Wenhua Wu China
Ghulam Farid China
Haixiang Xu China
Junhe Wan relative to Anna Witkowska Poland Anna Witkowska's profile →
Citations per field
00.5×2×4×5.9×
Anna Witkowska · 1×
Citations per year

Countries citing papers authored by Junhe Wan

Since Specialization
Citations

This map shows the geographic impact of Junhe Wan'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 Junhe Wan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junhe Wan more than expected).

Fields of papers citing papers by Junhe Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Junhe Wan. 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 Junhe Wan. The network helps show where Junhe Wan may publish in the future.

Co-authors

The 25 scholars most cited alongside Junhe Wan, 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 Junhe Wan Line = papers co-authored together Junhe Wan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201954
2 201938
3 202131
4 201929
5 202325
6 202224
7 201820
8 202416
9 201915
10 201914
11 202014
12 20189
13 20229
14 20218
15 20218
16 20227
17 20207
18 20197
19 20226
20 20234

About Junhe Wan

Junhe Wan is a scholar working on Control and Systems Engineering, Ocean Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Theory and Mathematics, having authored 38 papers that have together received 381 indexed citations. Recurring topics across this work include Adaptive Control of Nonlinear Systems (15 papers), Underwater Vehicles and Communication Systems (13 papers), Robotic Path Planning Algorithms (7 papers), Advanced Control Systems Design (4 papers), Water Quality Monitoring Technologies (4 papers), Adaptive Dynamic Programming Control (4 papers), Advanced Algorithms and Applications (4 papers) and Machine Learning and ELM (3 papers). The work is most often cited by research in Ocean Engineering (170 citations), Control and Systems Engineering (218 citations), Computer Vision and Pattern Recognition (85 citations), Aerospace Engineering (62 citations) and Energy Engineering and Power Technology (5 citations). Junhe Wan has collaborated with scholars based in China, India and Macao. Frequent co-authors include Yue Shen, Bo He, Dianrui Wang, Tianhong Yan, Lei Kou, Wende Ke, Fangfang Zhang, Hailin Liu, Qixin Sha and Ping Qin. Their work appears in journals such as International Journal of Bio-Inspired Computation, Ocean Engineering, Sensors, Applied Ocean Research and Electronics.

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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