Xiaojing Wang

929 citations
62 papers · 619 · h-index 12

Impact in

Papers in

Xiaojing Wang

52 papers receiving 585 citations

Peers

Xiaojing Wang
Comparison fields: 5 of 134
  • Artificial Intelligence 216
  • Statistics and Probability 48
  • Computational Theory and Mathematics 83
  • Statistics, Probability and Uncertainty 34
  • Computer Networks and Communications 112
Replace George Ostrouchov with:
George Ostrouchov United States
Larry Wasserman United States
Steve Gunn United Kingdom
Cornelis Kraaikamp Netherlands
Wancheng Zhang China
Anthony Brockwell United States
Vladimir L. Boginski United States
Nuno Crato Portugal
Darrel C. Ince United Kingdom
Catherine Loader United States
Xiaojing Wang relative to George Ostrouchov United States George Ostrouchov's profile →
Citations per field
00.5×2×3.4×
George Ostrouchov · 1×
Citations per year

Countries citing papers authored by Xiaojing Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaojing Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201683
2 201868
3 200758
4 201046
5 201645
6 201634
7 201629
8 201820
9 201919
10 201715
11 200915
12 201313
13 200812
14 202512
15 201811
16 200211
17 201011
18 200910
19 201610
20 20118

About Xiaojing Wang

Xiaojing Wang is a scholar working on Artificial Intelligence, Computer Networks and Communications, Computational Theory and Mathematics, Hardware and Architecture and Statistics and Probability, having authored 62 papers that have together received 619 indexed citations. Recurring topics across this work include Statistical Methods and Inference (6 papers), Network Security and Intrusion Detection (6 papers), Network Packet Processing and Optimization (5 papers), Statistical Methods and Bayesian Inference (5 papers), Internet Traffic Analysis and Secure E-voting (4 papers), Advanced Data Storage Technologies (4 papers), Caching and Content Delivery (4 papers) and Bayesian Methods and Mixture Models (3 papers). The work is most often cited by research in Artificial Intelligence (216 citations), Statistics and Probability (48 citations), Computational Theory and Mathematics (83 citations), Statistics, Probability and Uncertainty (34 citations) and Computer Networks and Communications (112 citations). Xiaojing Wang has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include James O. Berger, Jun Yan, Mengyang Gu, Jianming Li, Mekonnen Gebremichael, Hong Liu, Yi Li, Jin Dong Sun, Shangping Wang and Ryan Takahashi. Their work appears in journals such as Scientific Reports, Proceedings of the Royal Society of Edinburgh Section A Mathematics, SIAM/ASA Journal on Uncertainty Quantification, Ergonomics and The Annals of Statistics.

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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