John Weng

1.4k citations
33 papers · 442 indexed · h-index 11

Impact in

Papers in

John Weng

27 papers receiving 395 citations

Peers

John Weng
Comparison fields: 5 of 64
  • Computer Vision and Pattern Recognition 259
  • Human-Computer Interaction 48
  • Media Technology 58
  • Artificial Intelligence 130
  • Life-span and Life-course Studies 3
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Jie Yan China
V. Javier Traver Spain
Abdolah Chalechale Iran
Shunyu Yao China
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John Weng relative to Jie Yan China Jie Yan's profile →
Citations per field
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Citations per year

Countries citing papers authored by John Weng

Since Specialization
Citations

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

Fields of papers citing papers by John Weng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside John Weng, 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 John Weng Line = papers co-authored together John Weng links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Novelty and Reinforcement Learning in the Value System of Developmental Robots
200274
2 199751
3 199249
4 199348
5 200244
6 200239
7 200228
8 199625
9 199614
10 199613
11 200212
12 20028
13 20027
14 19986
15 20224
16 20033
17 20023
18 20242
19 20022
20 20212

About John Weng

John Weng is a scholar working on Life-span and Life-course Studies, Computer Vision and Pattern Recognition, Media Technology, Organizational Behavior and Human Resource Management and Applied Psychology, having authored 33 papers that have together received 442 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (8 papers), Advanced Image and Video Retrieval Techniques (6 papers), Image Processing Techniques and Applications (5 papers), Organizational Learning and Leadership (4 papers), Face and Expression Recognition (3 papers), Robotics and Sensor-Based Localization (3 papers), Image Retrieval and Classification Techniques (3 papers) and Advanced Image Processing Techniques (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (259 citations), Human-Computer Interaction (48 citations), Media Technology (58 citations), Artificial Intelligence (130 citations) and Life-span and Life-course Studies (3 citations). John Weng has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Xiao Huang, D.L. Swets, Yuntao Cui, Paul R. Cohen, Thomas S. Huang, Narendra Ahuja, Shaoyun Chen, Herbert M. Reynolds, Lea Hubbard and Xiaohu Huang. Their work appears in journals such as International Journal of Computer Vision, IEEE Transactions on Robotics and Automation, Pattern Recognition Letters, Multimedia Tools and Applications and New Directions for Student Leadership.

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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