Jun‐Wei Hsieh

968 citations
40 papers · 648 indexed · h-index 12
Topics
Video Surveillance and Tracking Methods (22 papers)Advanced Neural Network Applications (13 papers)Autonomous Vehicle Technology and Safety (8 papers)

In The Last Decade

Jun‐Wei Hsieh

39 papers receiving 605 citations

Peers

Jun‐Wei Hsieh
Comparison fields: 5 of 69
  • Computer Vision and Pattern Recognition 545
  • Media Technology 151
  • Automotive Engineering 123
  • Building and Construction 68
  • Artificial Intelligence 63
Replace Jakub Sochor with:
Jakub Sochor Czechia
Zezhi Chen United Kingdom
Yalong Ma China
Sumedh Gupte United States
Jianan Li China
Xuezhi Xiang China
Jinhui Lan China
Jun-Wei Hsieh Taiwan
Miguel Ángel García-Garrido Spain
Xu Yun China
Jun‐Wei Hsieh relative to Jakub Sochor Czechia Jakub Sochor's profile →
Citations per field
00.5×6.6×
Jakub Sochor · 1×
Citations per year

Countries citing papers authored by Jun‐Wei Hsieh

Since Specialization
Citations

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

Fields of papers citing papers by Jun‐Wei Hsieh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun‐Wei Hsieh. 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 Jun‐Wei Hsieh. The network helps show where Jun‐Wei Hsieh may publish in the future.

Co-authorship network of co-authors of Jun‐Wei Hsieh

This figure shows the co-authorship network connecting the top 25 collaborators of Jun‐Wei Hsieh. A scholar is included among the top collaborators of Jun‐Wei Hsieh based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jun‐Wei Hsieh. Jun‐Wei Hsieh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
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6 11
7 16
8 8
9 1
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11 4
12 2
13 1
14 196
15 6
16 9
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19 26
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About Jun‐Wei Hsieh

Jun‐Wei Hsieh is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Human-Computer Interaction, having authored 40 papers that have together received 648 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (22 papers), Advanced Neural Network Applications (13 papers) and Autonomous Vehicle Technology and Safety (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (545 citations), Media Technology (151 citations) and Automotive Engineering (123 citations). Jun‐Wei Hsieh has collaborated with scholars based in Taiwan, United States and United Arab Emirates. Frequent co-authors include Luo-Wei Tsai, Kuo‐Chin Fan, Duan-Yu Chen, Ping-Yang Chen, W. Eric L. Grimson, Hong-Yuan Mark Liao, Munkhjargal Gochoo, Chien-Yao Wang, Yung‐Sheng Chen and Tan-Hsu Tan. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Access and Sensors.

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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