Wei Chen Lin

44 papers receiving 2k citations

Peers

Wei Chen Lin
Comparison fields: 5 of 116
  • Atmospheric Science 476
  • Statistics and Probability 284
  • Pollution 226
  • Health, Toxicology and Mutagenesis 228
  • Water Science and Technology 245
Replace Shuyi Zhang with:
Shuyi Zhang China
Abdel H. El‐Shaarawi Canada
Firdaus Mohamad Hamzah Malaysia
Asha B. Chelani India
Charles Saki Bakheit Oman
Bin Guo China
Leonard M. Lye Canada
Yaning Yang China
S.M. Shiva Nagendra India
Paolo Zannetti United States
Wei Chen Lin relative to Shuyi Zhang China Shuyi Zhang's profile →
Citations per field
00.5×2×4×6×8×9.2×
Shuyi Zhang · 1×
Citations per year

Countries citing papers authored by Wei Chen Lin

Since Specialization
Citations

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

Fields of papers citing papers by Wei Chen Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wei Chen Lin. 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 Wei Chen Lin. The network helps show where Wei Chen Lin may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017288
2 2014270
3 2019199
4 2014171
5 2021153
6 2017131
7 201594
8 201288
9 201364
10 201454
11 201753
12 201350
13 201843
14 201432
15 201532
16 201731
17 202130
18 201925
19 202119
20 201618

About Wei Chen Lin

Wei Chen Lin is a scholar working on Statistics and Probability, Atmospheric Science, Environmental Engineering, Pollution and Finance, having authored 47 papers that have together received 2k indexed citations. Recurring topics across this work include Statistical Methods and Inference (10 papers), Atmospheric chemistry and aerosols (7 papers), Pharmaceutical and Antibiotic Environmental Impacts (3 papers), Financial Risk and Volatility Modeling (3 papers), Recycling and Waste Management Techniques (2 papers), Air Quality Monitoring and Forecasting (2 papers), Statistical and numerical algorithms (2 papers) and Bayesian Methods and Mixture Models (2 papers). The work is most often cited by research in Atmospheric Science (476 citations), Statistics and Probability (284 citations), Pollution (226 citations), Health, Toxicology and Mutagenesis (228 citations) and Water Science and Technology (245 citations). Wei Chen Lin has collaborated with scholars based in China, United States and France. Frequent co-authors include Rui Feng, Jianlei Lang, Ying Chun Zhou, Dongshen Chen, Hongzhe Li, Gloria González‐Rivera, Yangsheng Liu, Huilin Li, Xiaofan Xing and Shuiyuan Cheng. Their work appears in journals such as The Science of The Total Environment, Journal of the American Statistical Association, Biometrika, Journal of Business and Economic 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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