Xingen Wang

536 citations
19 papers · 309 · h-index 11

Impact in

  • Software top 5%
    • Software Testing and Debugging Techniques
    • Software Reliability and Analysis Research
    • Ethics and Social Impacts of AI

Papers in

    • Adversarial Robustness in Machine Learning 6
    • Advanced Graph Neural Networks 4
    • Explainable Artificial Intelligence (XAI) 4
    • Machine Learning and Algorithms 2
    • Software Engineering Research 4

Xingen Wang

19 papers receiving 302 citations

Peers

Xingen Wang
Comparison fields: 5 of 44
  • Software 69
  • Safety Research 59
  • Artificial Intelligence 169
  • Information Systems 115
  • Health Informatics 6
Replace Ting Dai with:
Ting Dai United States
Weisong Sun China
Houssem Ben Braiek Canada
Hong Jin Kang Singapore
Christopher A. Choquette-Choo United States
Konstantin Böttinger Germany
Yoon‐Chan Jhi United States
Chenyang Lyu China
Haruaki Tamada Japan
Valerio Schiavoni Switzerland
Xingen Wang relative to Ting Dai United States Ting Dai's profile →
Citations per field
00.5×1.7×
Ting Dai · 1×
Citations per year

Countries citing papers authored by Xingen Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xingen Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 202077
2 201436
3 201935
4 201431
5 202123
6 202118
7 201212
8 201012
9 202211
10 202310
11 202010
12 20217
13 20227
14 20217
15 20215
16 20214
17 20142
18 20221
19 20111

About Xingen Wang

Xingen Wang is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Computer Vision and Pattern Recognition and Software, having authored 19 papers that have together received 309 indexed citations. Recurring topics across this work include Adversarial Robustness in Machine Learning (6 papers), Software Testing and Debugging Techniques (4 papers), Software Engineering Research (4 papers), Advanced Graph Neural Networks (4 papers), Explainable Artificial Intelligence (XAI) (4 papers), Advanced Malware Detection Techniques (3 papers), Caching and Content Delivery (2 papers) and Machine Learning and Algorithms (2 papers). The work is most often cited by research in Software (69 citations), Safety Research (59 citations), Artificial Intelligence (169 citations), Information Systems (115 citations) and Health Informatics (6 citations). Xingen Wang has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Xinyu Wang, Xin Xia, David Lo, Ting Dai, Jun Sun, Jin Song Dong, Jingyi Wang, Chun Chen, Mingli Song and Xinchao Wang. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Software Engineering, Science China Information Sciences, IEEE Transactions on Circuits and Systems for Video Technology and IEEE Transactions on Neural Networks and Learning Systems.

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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