Hang Pan

579 citations
35 papers · 363 · h-index 12

Impact in

Papers in

Hang Pan

34 papers receiving 349 citations

Peers

Hang Pan
Comparison fields: 5 of 69
  • Civil and Structural Engineering 140
  • Experimental and Cognitive Psychology 81
  • Human-Computer Interaction 26
  • Computer Vision and Pattern Recognition 95
  • Signal Processing 35
Replace Haifeng Zhang with:
Haifeng Zhang China
Chen-Chiung Hsieh Taiwan
Heming Du Australia
Philipp Michel United States
Guang Han China
Yen‐Chang Huang Taiwan
Xiaohui Yang China
A. Belén Moreno Spain
Hongxia Xie Taiwan
Hang Pan relative to Haifeng Zhang China Haifeng Zhang's profile →
Citations per field
00.5×4.0×
Haifeng Zhang · 1×
Citations per year

Countries citing papers authored by Hang Pan

Since Specialization
Citations

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

Fields of papers citing papers by Hang Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202441
2 202035
3 202434
4 202233
5 202323
6 202123
7 202517
8 202017
9 202314
10 201914
11 202511
12 202211
13 20169
14 20178
15 20247
16 20217
17 20256
18 20246
19 20215
20 20224

About Hang Pan

Hang Pan is a scholar working on Experimental and Cognitive Psychology, Computer Vision and Pattern Recognition, Civil and Structural Engineering, Signal Processing and Control and Systems Engineering, having authored 35 papers that have together received 363 indexed citations. Recurring topics across this work include Emotion and Mood Recognition (14 papers), Vibration Control and Rheological Fluids (8 papers), Face recognition and analysis (7 papers), Seismic Performance and Analysis (7 papers), Face and Expression Recognition (6 papers), Speech and Audio Processing (4 papers), Structural Engineering and Vibration Analysis (3 papers) and Human Pose and Action Recognition (3 papers). The work is most often cited by research in Civil and Structural Engineering (140 citations), Experimental and Cognitive Psychology (81 citations), Human-Computer Interaction (26 citations), Computer Vision and Pattern Recognition (95 citations) and Signal Processing (35 citations). Hang Pan has collaborated with scholars based in China. Frequent co-authors include Liyuan Cao, Lun Xie, Zhiliang Wang, Chunxiang Li, Chunxiang Li, Minghao Yang, Yu Huang, Xueqin Li, Jianhua Tao and Zeping Lv. Their work appears in journals such as Engineering Structures, Engineering Applications of Artificial Intelligence, Journal of Building Engineering, Journal of Wind Engineering and Industrial Aerodynamics 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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