Xuejun Wang

3.6k citations
150 papers · 2.3k · h-index 26

Impact in

Papers in

Xuejun Wang

144 papers receiving 2.2k citations

Peers

Xuejun Wang
Comparison fields: 5 of 162
  • Management Science and Operations Research 412
  • Statistics and Probability 235
  • Cancer Research 186
  • Hepatology 93
  • Finance 124
Replace Sun Young Hwang with:
Sun Young Hwang South Korea
Debasis Bhattacharya India
Huifen Chen United States
Perry Haaland United States
Xiaodong Zheng China
Liang Zhao United States
William R. Greco United States
Wenhao Hu China
Weiyong Liu China
Hsuan‐Yu Chen Taiwan
Xuejun Wang relative to Sun Young Hwang South Korea Sun Young Hwang's profile →
Citations per field
00.5×7.4×
Sun Young Hwang · 1×
Citations per year

Countries citing papers authored by Xuejun Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xuejun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 150 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002102
2 201695
3 201293
4 200785
5 200779
6 201677
7 201676
8 201375
9 201467
10 201561
11 201552
12 201643
13 201941
14 200938
15 201536
16 201436
17 202035
18 201433
19 202233
20 202333

About Xuejun Wang

Xuejun Wang is a scholar working on Molecular Biology, Management Science and Operations Research, Infectious Diseases, Statistics and Probability and Epidemiology, having authored 150 papers that have together received 2.3k indexed citations. Recurring topics across this work include Probability and Risk Models (36 papers), Hepatitis B Virus Studies (12 papers), Statistical Distribution Estimation and Applications (12 papers), Advanced Harmonic Analysis Research (12 papers), Insurance, Mortality, Demography, Risk Management (12 papers), SARS-CoV-2 and COVID-19 Research (11 papers), MicroRNA in disease regulation (9 papers) and RNA Interference and Gene Delivery (8 papers). The work is most often cited by research in Management Science and Operations Research (412 citations), Statistics and Probability (235 citations), Cancer Research (186 citations), Hepatology (93 citations) and Finance (124 citations). Xuejun Wang has collaborated with scholars based in China, United States and Belarus. Frequent co-authors include Shuhe Hu, Shengqi Wang, Wenzhi Yang, Xiaoran Ding, Wei Hu, Shuo Peng, Wu-Ming Liu, Zhen Wei, Ye Tian and Zhe Zhou. Their work appears in journals such as PLoS ONE, Antiviral Research, Statistical Papers, Scientific Reports and International Journal of Hydrogen Energy.

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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