H.C. Shen

1.4k citations
48 papers · 858 · h-index 14

Impact in

Papers in

H.C. Shen

43 papers receiving 814 citations

Peers

H.C. Shen
Comparison fields: 5 of 113
  • Computer Vision and Pattern Recognition 283
  • Signal Processing 115
  • Automotive Engineering 106
  • Media Technology 63
  • Biomedical Engineering 308
Replace Jungsuk Kim with:
Jungsuk Kim South Korea
Shanfeng Wang China
Jiquan Yang China
Chih‐Yang Lin Taiwan
S. Sadri Iran
Xiaojun Yu China
Whoi-Yul Kim South Korea
George K. Knopf Canada
Xian Du United States
Lan Wu China
H.C. Shen relative to Jungsuk Kim South Korea Jungsuk Kim's profile →
Citations per field
00.5×4.4×
Jungsuk Kim · 1×
Citations per year

Countries citing papers authored by H.C. Shen

Since Specialization
Citations

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

Fields of papers citing papers by H.C. Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by H.C. Shen. 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 H.C. Shen. The network helps show where H.C. Shen may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018203
2 2008128
3 202073
4 200558
5 202052
6 200651
7 202036
8 200428
9 199319
10 199418
11 200317
12 201916
13 200016
14 199415
15 199310
16 200210
17
APPLICATION OF IMAGE ANALYSIS TECHNOLOGY TO AUTOMATION OF PAVEMENT CONDITION SURVEYS
19849
18 20019
19 20219
20 19968

About H.C. Shen

H.C. Shen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Control and Systems Engineering, Biomedical Engineering and Computer Networks and Communications, having authored 48 papers that have together received 858 indexed citations. Recurring topics across this work include Target Tracking and Data Fusion in Sensor Networks (10 papers), Distributed Sensor Networks and Detection Algorithms (7 papers), Image Retrieval and Classification Techniques (6 papers), Face and Expression Recognition (5 papers), Fault Detection and Control Systems (5 papers), Neural Networks and Applications (5 papers), Neuroscience and Neural Engineering (3 papers) and Opinion Dynamics and Social Influence (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (283 citations), Signal Processing (115 citations), Automotive Engineering (106 citations), Media Technology (63 citations) and Biomedical Engineering (308 citations). H.C. Shen has collaborated with scholars based in Hong Kong, Canada and China. Frequent co-authors include Jingdong Wang, Changshui Zhang, Ajay Kumar, Long Quan, Fei Wang, Shangting You, Wei Zhu, Shaochen Chen, Sarah A. Woller and Tony L. Yaksh. Their work appears in journals such as Pattern Recognition Letters, Journal of Intelligent & Robotic Systems, The International Journal of Advanced Manufacturing Technology, IEEE Internet of Things Journal and International Journal of Radiation Oncology*Biology*Physics.

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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