Wei Lu

1.7k total citations · 1 hit paper
97 papers, 941 citations indexed

About

Wei Lu is a scholar working on Artificial Intelligence, Information Systems and Statistics, Probability and Uncertainty. According to data from OpenAlex, Wei Lu has authored 97 papers receiving a total of 941 indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Artificial Intelligence, 27 papers in Information Systems and 23 papers in Statistics, Probability and Uncertainty. Recurrent topics in Wei Lu's work include Topic Modeling (27 papers), scientometrics and bibliometrics research (23 papers) and Advanced Text Analysis Techniques (20 papers). Wei Lu is often cited by papers focused on Topic Modeling (27 papers), scientometrics and bibliometrics research (23 papers) and Advanced Text Analysis Techniques (20 papers). Wei Lu collaborates with scholars based in China, United States and Australia. Wei Lu's co-authors include Yong Huang, Qikai Cheng, Yi Bu, Haihua Chen, Jiangping Chen, Lei Wu, Junhua Ding, Xin Li, Zhifeng Liu and Xiaoguang Wang and has published in prestigious journals such as Research Policy, Expert Systems with Applications and ACM Computing Surveys.

In The Last Decade

Wei Lu

92 papers receiving 901 citations

Hit Papers

A comparative study of automated legal text classificatio... 2021 2026 2022 2024 2021 40 80 120

Peers

Wei Lu
Comparison fields: 5 of 143
  • Artificial Intelligence 409
  • Statistics, Probability and Uncertainty 194
  • Information Systems 185
  • Sociology and Political Science 108
  • Statistical and Nonlinear Physics 95
Replace Kun Lü with:
Kun Lü United States
Martin Szomszor United Kingdom
Massimo Franceschet Italy
Andreas Strotmann Canada
Philipp Mayr Germany
Ying Ding China
Marko A. Rodriguez United States
Tehmina Amjad Pakistan
Pawan Goyal India
Giovanni Colavizza Netherlands
Kun Lü United States View profile →
Citations per field, relative to Wei Lu
Wei Lu · 1×
Citations per year, relative to Wei Lu
Wei Lu · 1×

Countries citing papers authored by Wei Lu

Since Specialization
Citations

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

Fields of papers citing papers by Wei Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wei Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Wei Lu. A scholar is included among the top collaborators of Wei Lu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Wei Lu. Wei Lu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 3
2 2
3 0
4 7
5 1
6 2
7 0
8 1
9 1
10 11
11 10
12 6
13 7
14 0
15 5
16 3
17 6
18
Window based Enterprise Expert Search
8
19 7
20
CSIR at TREC 2007 Expert Search Task.
2

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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