Hanpin Wang

520 citations
67 papers · 230 · h-index 8

Impact in

    • Privacy-Preserving Technologies in Data
    • Adversarial Robustness in Machine Learning
    • Advanced Software Engineering Methodologies
    • Image and Video Quality Assessment
    • Advanced Image Processing Techniques
    • Advanced Image and Video Retrieval Techniques

Papers in

Hanpin Wang

57 papers receiving 225 citations

Peers

Hanpin Wang
Comparison fields: 5 of 49
  • Artificial Intelligence 107
  • Computer Vision and Pattern Recognition 68
  • Computational Theory and Mathematics 33
  • Management Information Systems 18
  • Software 7
Replace F. Cuppens with:
F. Cuppens France
Ayman M. Abdalla Jordan
C. Nalini India
Mario Alviano Italy
Michael Macias United States
Sushama Nagpal India
Zhenyan Ji China
Zissis Poulos Canada
Bořivoj Melichar Czechia
Hanpin Wang relative to F. Cuppens France F. Cuppens's profile →
Citations per field
00.5×10×13.3×
F. Cuppens · 1×
Citations per year

Countries citing papers authored by Hanpin Wang

Since Specialization
Citations

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

Fields of papers citing papers by Hanpin Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202220
2 202119
3 202213
4 201810
5 20239
6 20229
7 20238
8 20217
9 20217
10 20237
11 20107
12 20226
13 20246
14 20246
15 20196
16 20226
17 20165
18 20065
19 20035
20 20174

About Hanpin Wang

Hanpin Wang is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Computational Theory and Mathematics and Computer Vision and Pattern Recognition, having authored 67 papers that have together received 230 indexed citations. Recurring topics across this work include Service-Oriented Architecture and Web Services (12 papers), Business Process Modeling and Analysis (10 papers), Logic, Reasoning, and Knowledge (7 papers), Topic Modeling (6 papers), Game Theory and Voting Systems (6 papers), Petri Nets in System Modeling (6 papers), Multimodal Machine Learning Applications (5 papers) and Privacy-Preserving Technologies in Data (5 papers). The work is most often cited by research in Artificial Intelligence (107 citations), Computer Vision and Pattern Recognition (68 citations), Computational Theory and Mathematics (33 citations), Management Information Systems (18 citations) and Software (7 citations). Hanpin Wang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Yongzhi Cao, Yu Huang, Yuan‐Gen Wang, Lisheng Fan, Leida Li, Yangtao Wang, Yunni Xia, Qiwen Xu, Yufan Song and Jiangfeng Zeng. Their work appears in journals such as Theoretical Computer Science, Artificial Intelligence, Information Fusion, Information and Software Technology and Neurocomputing.

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.

Explore authors with similar magnitude of impact