Lang Wu

2.1k citations
75 papers · 1.5k · h-index 18

Impact in

    • Statistical Methods and Bayesian Inference
    • Statistical Methods and Inference
    • Statistical Methods in Clinical Trials
    • Statistical Distribution Estimation and Applications
    • Advanced Causal Inference Techniques
    • Oral Health Pathology and Treatment

Papers in

    • Statistical Methods and Bayesian Inference 46
    • Statistical Methods and Inference 41
    • Statistical Methods in Clinical Trials 7
    • Advanced Statistical Methods and Models 6
    • Advanced Causal Inference Techniques 5
    • Statistical Distribution Estimation and Applications 4
    • Bayesian Methods and Mixture Models 27

Lang Wu

70 papers receiving 1.4k citations

Peers

Lang Wu
Comparison fields: 5 of 140
  • Statistics and Probability 827
  • Periodontics 97
  • Otorhinolaryngology 62
  • Artificial Intelligence 346
  • Virology 45
Replace Shande Chen with:
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Lang Wu relative to Shande Chen United States Shande Chen's profile →
Citations per field
00.5×10×15×20×24.3×
Shande Chen · 1×
Citations per year

Countries citing papers authored by Lang Wu

Since Specialization
Citations

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

Fields of papers citing papers by Lang Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009228
2 2003162
3 2002147
4 2012136
5 201193
6 199980
7 200668
8 200953
9 201140
10 200135
11 200733
12 200433
13 201028
14 201127
15 200227
16 200226
17 200220
18 200419
19 200413
20 200213

About Lang Wu

Lang Wu is a scholar working on Statistics and Probability, Artificial Intelligence, Virology, Nature and Landscape Conservation and Management Science and Operations Research, having authored 75 papers that have together received 1.5k indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (46 papers), Statistical Methods and Inference (41 papers), Bayesian Methods and Mixture Models (27 papers), Statistical Methods in Clinical Trials (7 papers), HIV Research and Treatment (6 papers), Advanced Statistical Methods and Models (6 papers), Advanced Causal Inference Techniques (5 papers) and Statistical Distribution Estimation and Applications (4 papers). The work is most often cited by research in Statistics and Probability (827 citations), Periodontics (97 citations), Otorhinolaryngology (62 citations), Artificial Intelligence (346 citations) and Virology (45 citations). Lang Wu has collaborated with scholars based in Canada, United States and China. Frequent co-authors include Michael D. Perlman, Wei Liu, Hulin Wu, Yangxin Huang, Shirley A. Murphy, Janet A. Lohan, L. Clark Johnson, X. Joan Hu, Grace Y. Yi and Peter B. Gilbert. Their work appears in journals such as Statistics in Medicine, Biometrics, Journal of Statistical Planning and Inference, Canadian Journal of Statistics and Computational Statistics & Data 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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