Ershen Wang

803 citations
83 papers · 499 · h-index 12

Impact in

    • GNSS positioning and interference
    • Inertial Sensor and Navigation
    • Infrared Target Detection Methodologies
    • Geophysics and Gravity Measurements

Papers in

Ershen Wang

67 papers receiving 479 citations

Peers

Ershen Wang
Comparison fields: 5 of 73
  • Aerospace Engineering 262
  • Oceanography 55
  • Computer Vision and Pattern Recognition 92
  • Computer Networks and Communications 95
  • Safety, Risk, Reliability and Quality 31
Replace Sherman Lo with:
Sherman Lo United States
Dongliang Peng China
Baoguo Yu China
Zengke Li China
Ivan Garvanov Bulgaria
Gianluca Furano Netherlands
Jahshan A. Bhatti United States
Samer Khanafseh United States
Sarang Thombre Finland
Chang‐Hee Won United States
Ershen Wang relative to Sherman Lo United States Sherman Lo's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ershen Wang

Since Specialization
Citations

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

Fields of papers citing papers by Ershen Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202059
2 201848
3 201835
4 201924
5 202220
6 202218
7 201618
8 202015
9 202215
10 202413
11 201913
12 202112
13 202311
14 201310
15 202010
16 202010
17 20219
18 20229
19 20168
20 20237

About Ershen Wang

Ershen Wang is a scholar working on Aerospace Engineering, Artificial Intelligence, Control and Systems Engineering, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition, having authored 83 papers that have together received 499 indexed citations. Recurring topics across this work include GNSS positioning and interference (38 papers), Inertial Sensor and Navigation (19 papers), Geophysics and Gravity Measurements (11 papers), Target Tracking and Data Fusion in Sensor Networks (11 papers), Maritime Navigation and Safety (8 papers), Fault Detection and Control Systems (6 papers), Ionosphere and magnetosphere dynamics (6 papers) and Video Surveillance and Tracking Methods (6 papers). The work is most often cited by research in Aerospace Engineering (262 citations), Oceanography (55 citations), Computer Vision and Pattern Recognition (92 citations), Computer Networks and Communications (95 citations) and Safety, Risk, Reliability and Quality (31 citations). Ershen Wang has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Tao Pang, Yufeng Li, Chuanyun Wang, Gang Tong, Tian Wang, Jinping Chen, Dun Wang, Shaojun Feng, Yao Wang and Yufeng Huang. Their work appears in journals such as IEEE Access, Sensors, Advances in Space Research, IEEE Transactions on Instrumentation and Measurement and Drones.

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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