Yun Pan

92 papers receiving 869 citations

Peers

Yun Pan
Comparison fields: 5 of 122
  • Aerospace Engineering 219
  • Computer Vision and Pattern Recognition 163
  • Signal Processing 74
  • Ocean Engineering 100
  • Cardiology and Cardiovascular Medicine 107
Replace Guoli Wang with:
Guoli Wang China
Avik Santra Germany
Ki‐Doo Kim South Korea
Joakim Rydell Sweden
Fusang Zhang China
Risanuri Hidayat Indonesia
Jiankang Wu Singapore
José Vieira Portugal
Peijun Zhao China
Seung-Hyun Kong South Korea
Yun Pan relative to Guoli Wang China Guoli Wang's profile →
Citations per field
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Guoli Wang · 1×
Citations per year

Countries citing papers authored by Yun Pan

Since Specialization
Citations

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

Fields of papers citing papers by Yun Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 97 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015152
2 201146
3 201540
4 201339
5 201434
6 201528
7 201921
8 201818
9 201917
10 201617
11 202316
12 201516
13 201214
14 201914
15 202114
16 202314
17 201713
18 202212
19
Variation-Aware Adaptive Tuning for Nanophotonic Interconnects
201612
20 200712

About Yun Pan

Yun Pan is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Aerospace Engineering, Artificial Intelligence and Biomedical Engineering, having authored 97 papers that have together received 891 indexed citations. Recurring topics across this work include Indoor and Outdoor Localization Technologies (11 papers), Robotics and Sensor-Based Localization (11 papers), ECG Monitoring and Analysis (10 papers), Target Tracking and Data Fusion in Sensor Networks (8 papers), Advanced Image and Video Retrieval Techniques (7 papers), EEG and Brain-Computer Interfaces (7 papers), Pediatric Pain Management Techniques (7 papers) and Advanced Vision and Imaging (6 papers). The work is most often cited by research in Aerospace Engineering (219 citations), Computer Vision and Pattern Recognition (163 citations), Signal Processing (74 citations), Ocean Engineering (100 citations) and Cardiology and Cardiovascular Medicine (107 citations). Yun Pan has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Ruohong Huan, Qinglin Tian, Zoran Salčić, Kevin I‐Kai Wang, Kwang‐Ting Cheng, Huaiyu Zhu, Zhe Yang, Yizhou Zhong, Fangjian Chen and Ke Li. Their work appears in journals such as Electronics Letters, IEEE Sensors Journal, Sensors, IEEE Transactions on Neural Systems and Rehabilitation Engineering and PLoS ONE.

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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