Lan Yu

58 papers receiving 1.1k citations

Peers

Lan Yu
Comparison fields: 5 of 149
  • Management Science and Operations Research 217
  • Cancer Research 111
  • Economics and Econometrics 207
  • Global and Planetary Change 122
  • Atmospheric Science 97
Replace Edsel A. Peña with:
Edsel A. Peña United States
Vasyl Pihur United States
Phillip I. Good United States
Yunqiang Liu China
Xiaopeng Wang China
Reza Abbasi-Asl United States
Yi Lu China
John W. Emerson United States
Stephan Morgenthaler Switzerland
Yongping Zhang China
Lan Yu relative to Edsel A. Peña United States Edsel A. Peña's profile →
Citations per field
00.5×2×4×6.1×
Edsel A. Peña · 1×
Citations per year

Countries citing papers authored by Lan Yu

Since Specialization
Citations

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

Fields of papers citing papers by Lan Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011162
2 2005123
3 202065
4 200661
5 201452
6 202048
7 201338
8 201935
9 201633
10 201729
11 201729
12 201928
13 202024
14 201624
15 202222
16 202022
17 201221
18 201319
19
Improved Support Vector Machine Regression in Multi-Step-Ahead Prediction for Tunnel Surrounding Rock Displacement
201419
20 202218

About Lan Yu

Lan Yu is a scholar working on Economics and Econometrics, Molecular Biology, Management Science and Operations Research, Global and Planetary Change and Atmospheric Science, having authored 60 papers that have together received 1.1k indexed citations. Recurring topics across this work include Game Theory and Voting Systems (10 papers), Auction Theory and Applications (8 papers), Atmospheric aerosols and clouds (6 papers), Atmospheric chemistry and aerosols (5 papers), Solar Radiation and Photovoltaics (4 papers), Electoral Systems and Political Participation (3 papers), Atmospheric Ozone and Climate (3 papers) and Game Theory and Applications (3 papers). The work is most often cited by research in Management Science and Operations Research (217 citations), Cancer Research (111 citations), Economics and Econometrics (207 citations), Global and Planetary Change (122 citations) and Atmospheric Science (97 citations). Lan Yu has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Michael Saks, Edith Elkind, Russell L. Margolis, Dobrila D. Rudnicki, Daniel W. Chung, Hoi K. Suen, Lunche Wang, Junli Li, Piotr Skowron and Yunbo Lu. Their work appears in journals such as Atmospheric Environment, Canadian Journal of Physiology and Pharmacology, BMC Pregnancy and Childbirth, Autonomous Agents and Multi-Agent Systems and Atmospheric Research.

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.

Explore authors with similar magnitude of impact