Xiaodan Wang

533 citations
24 papers · 410 · h-index 9

Impact in

Papers in

Xiaodan Wang

21 papers receiving 394 citations

Peers

Xiaodan Wang
Comparison fields: 5 of 72
  • Management Science and Operations Research 212
  • Statistics and Probability 78
  • Marketing 61
  • Strategy and Management 91
  • Computational Theory and Mathematics 91
Replace Jun‐ya Gotoh with:
Jun‐ya Gotoh Japan
Xia Liang China
Wanmo Kang South Korea
Markus Hirschberger Germany
Belén Martín-Barragán United Kingdom
Kurt J. Engemann United States
Yidong Zhang China
Haiping Ren China
Xiaodan Wang relative to Jun‐ya Gotoh Japan Jun‐ya Gotoh's profile →
Citations per field
00.5×3.6×
Jun‐ya Gotoh · 1×
Citations per year

Countries citing papers authored by Xiaodan Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaodan Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017106
2 201482
3 201560
4 201443
5 201531
6 201622
7 201718
8 200911
9 202110
10 20244
11 20184
12 20154
13 20094
14 20162
15 20202
16 20231
17 20171
18 20121
19 20171
20 20151

About Xiaodan Wang

Xiaodan Wang is a scholar working on Artificial Intelligence, Management Science and Operations Research, Statistics and Probability, Computational Theory and Mathematics and Strategy and Management, having authored 24 papers that have together received 410 indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (9 papers), Fuzzy Systems and Optimization (6 papers), Imbalanced Data Classification Techniques (5 papers), Fuzzy Logic and Control Systems (5 papers), Anomaly Detection Techniques and Applications (4 papers), Bayesian Modeling and Causal Inference (3 papers), Rough Sets and Fuzzy Logic (3 papers) and Machine Learning and Data Classification (3 papers). The work is most often cited by research in Management Science and Operations Research (212 citations), Statistics and Probability (78 citations), Marketing (61 citations), Strategy and Management (91 citations) and Computational Theory and Mathematics (91 citations). Xiaodan Wang has collaborated with scholars based in China, United States and Rwanda. Frequent co-authors include Yafei Song, Lei Lei, Mingming Feng, Jingwei Zhu, Quan Wen, Wenhua Wu, Jihong Wang, Chongming Wu, Dongying Bai and Yanzhi Xia. Their work appears in journals such as Applied Intelligence, Pattern Analysis and Applications, Journal of Intelligent & Fuzzy Systems, Progress in Natural Science Materials International and Abstract and Applied Analysis.

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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