Xingen Wang

536 total citations
19 papers, 309 citations indexed

About

Xingen Wang is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Xingen Wang has authored 19 papers receiving a total of 309 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 6 papers in Information Systems and 5 papers in Computer Networks and Communications. Recurrent topics in Xingen Wang's work include Adversarial Robustness in Machine Learning (6 papers), Software Engineering Research (4 papers) and Explainable Artificial Intelligence (XAI) (4 papers). Xingen Wang is often cited by papers focused on Adversarial Robustness in Machine Learning (6 papers), Software Engineering Research (4 papers) and Explainable Artificial Intelligence (XAI) (4 papers). Xingen Wang collaborates with scholars based in China, Singapore and United States. Xingen Wang's co-authors include Xinyu Wang, David Lo, Jun Sun, Ting Dai, Xin Xia, Jingyi Wang, Jin Song Dong, Mingli Song, Chun Chen and Xinchao Wang and has published in prestigious journals such as IEEE Transactions on Software Engineering, IEEE Transactions on Neural Networks and Learning Systems and Neurocomputing.

In The Last Decade

Xingen Wang

19 papers receiving 302 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Xingen Wang China	11	169	115	69	68	59	19	309
Ting Dai United States	10	148 0.9×	99 0.9×	56 0.8×	115 1.7×	58 1.0×	25	295
Houssem Ben Braiek Canada	7	123 0.7×	106 0.9×	105 1.5×	41 0.6×	9 0.2×	14	244
Weisong Sun China	12	131 0.8×	216 1.9×	128 1.9×	57 0.8×	16 0.3×	41	372
Hong Jin Kang Singapore	13	151 0.9×	237 2.1×	135 2.0×	75 1.1×	10 0.2×	26	372
Christopher A. Choquette-Choo United States	6	302 1.8×	67 0.6×	9 0.1×	47 0.7×	12 0.2×	10	406
Konstantin Böttinger Germany	8	188 1.1×	166 1.4×	46 0.7×	79 1.2×	6 0.1×	23	406
Haruaki Tamada Japan	8	119 0.7×	323 2.8×	119 1.7×	74 1.1×	7 0.1×	39	406
Chin‐Wei Tien Taiwan	9	119 0.7×	169 1.5×	17 0.2×	173 2.5×	9 0.2×	20	322
Anna Shubina United States	8	158 0.9×	117 1.0×	32 0.5×	129 1.9×	4 0.1×	16	299
Valerio Schiavoni Switzerland	10	237 1.4×	208 1.8×	15 0.2×	197 2.9×	6 0.1×	51	364

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-authorship network of co-authors of Xingen Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Xingen Wang. A scholar is included among the top collaborators of Xingen Wang 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 Xingen Wang. Xingen Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

19 of 19 papers shown

Wang, Xinchao, Zunlei Feng, Jie Song, et al.. (2023). Temporal Aggregation and Propagation Graph Neural Networks for Dynamic Representation. IEEE Transactions on Knowledge and Data Engineering. 35(10). 10151–10165. 10 indexed citations

Feng, Zunlei, et al.. (2022). Transition Propagation Graph Neural Networks for Temporal Networks. IEEE Transactions on Neural Networks and Learning Systems. 35(4). 4567–4579. 11 indexed citations

Wang, Xingen, et al.. (2022). HSDN: A High-Order Structural Semantic Disentangled Neural Network. IEEE Transactions on Knowledge and Data Engineering. 35(9). 8742–8756. 1 indexed citations

Gao, Yang, et al.. (2022). Reinforcement learning based web crawler detection for diversity and dynamics. Neurocomputing. 520. 115–128. 7 indexed citations

Wang, Jingyi, Jun Sun, Xinyu Wang, et al.. (2021). Automatic Fairness Testing of Neural Classifiers Through Adversarial Sampling. IEEE Transactions on Software Engineering. 48(9). 3593–3612. 18 indexed citations

Sun, Jun, et al.. (2021). Towards Repairing Neural Networks Correctly. 714–725. 4 indexed citations

Song, Jie, et al.. (2021). KDExplainer: A Task-oriented Attention Model for Explaining Knowledge Distillation. 3228–3234. 7 indexed citations

Wang, Xinchao, et al.. (2021). Walking With Attention: Self-Guided Walking for Heterogeneous Graph Embedding. IEEE Transactions on Knowledge and Data Engineering. 34(12). 6047–6060. 5 indexed citations

Fang, Gongfan, Jie Guang Song, Xinchao Wang, et al.. (2021). Contrastive Model Invertion for Data-Free Knolwedge Distillation. 2374–2380. 23 indexed citations

10.

Chen, Jiawei, Jian Wang, Xinchao Wang, et al.. (2021). CoEvo-Net: Coevolution Network for Video Highlight Detection. IEEE Transactions on Circuits and Systems for Video Technology. 32(6). 3788–3797. 7 indexed citations

11.

Wang, Jingyi, Jun Sun, Xinyu Wang, et al.. (2020). White-box fairness testing through adversarial sampling. Griffith Research Online (Griffith University, Queensland, Australia). 949–960. 77 indexed citations

12.

Wang, Jingyi, Jun Sun, Yang Zhang, et al.. (2020). Towards interpreting recurrent neural networks through probabilistic abstraction. Griffith Research Online (Griffith University, Queensland, Australia). 499–510. 10 indexed citations

13.

Chen, Gang, et al.. (2019). Real-time intelligent big data processing: technology, platform, and applications. Science China Information Sciences. 62(8). 35 indexed citations

14.

Wang, Xinyu, David Lo, Xin Xia, et al.. (2014). BOAT: an experimental platform for researchers to comparatively and reproducibly evaluate bug localization techniques. 572–575. 2 indexed citations

15.

Xia, Xin, David Lo, Weiwei Qiu, Xingen Wang, & Bo Zhou. (2014). Automated Configuration Bug Report Prediction Using Text Mining. Institutional Knowledge (InK) - Institutional Knowledge at Singapore Management University (Singapore Management University). 107–116. 36 indexed citations

16.

Xia, Xin, David Lo, Xingen Wang, Chenyi Zhang, & Xinyu Wang. (2014). Cross-language bug localization. 275–278. 31 indexed citations

17.

Wang, Xingen, et al.. (2012). Model-based load testing of web applications. Journal of the Chinese Institute of Engineers. 36(1). 74–86. 12 indexed citations

18.

Li, Wei, Shanping Li, & Xingen Wang. (2011). Load balance optimization with replication degree customization. 10. 170–174. 1 indexed citations

19.

Wang, Xingen, et al.. (2010). Model Based Load Testing of Web Applications. 483–490. 12 indexed citations

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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