Lu An

1.2k citations
88 papers · 912 · h-index 15

Impact in

Papers in

Lu An

79 papers receiving 872 citations

Peers

Lu An
Comparison fields: 5 of 125
  • Signal Processing 201
  • Artificial Intelligence 343
  • Computer Vision and Pattern Recognition 202
  • Management Science and Operations Research 119
  • Statistical and Nonlinear Physics 99
Replace Xinran He with:
Xinran He United States
Giuliano Armano Italy
Carmen De Maio Italy
Josiane Mothe France
W. Scott Spangler United States
Charu C. Aggarwal United States
Abdulrahman Altalhi Saudi Arabia
Sarabjot Singh Anand United Kingdom
William Webber Australia
Juan M. Fernández‐Luna Spain
Lu An relative to Xinran He United States Xinran He's profile →
Citations per field
00.5×4.5×
Xinran He · 1×
Citations per year

Countries citing papers authored by Lu An

Since Specialization
Citations

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

Fields of papers citing papers by Lu An

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 88 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007220
2 200571
3 201857
4 202144
5 202236
6 201635
7 200435
8 201825
9 202425
10 202122
11 200719
12 202318
13 202117
14 202115
15 202314
16 201913
17
An Integrated Analysis of Topical and Emotional Evolution of Microblog Public Opinions on Public Emergencies.
201711
18 200911
19
Vague sets or intuitionistic fuzzy sets for handling vague data: Which one is better?
200510
20 200910

About Lu An

Lu An is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics, Sociology and Political Science, Information Systems and Communication, having authored 88 papers that have together received 912 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (16 papers), Advanced Text Analysis Techniques (11 papers), Sentiment Analysis and Opinion Mining (10 papers), Misinformation and Its Impacts (9 papers), Data Management and Algorithms (9 papers), Topic Modeling (8 papers), Rough Sets and Fuzzy Logic (5 papers) and Data Mining Algorithms and Applications (5 papers). The work is most often cited by research in Signal Processing (201 citations), Artificial Intelligence (343 citations), Computer Vision and Pattern Recognition (202 citations), Management Science and Operations Research (119 citations) and Statistical and Nonlinear Physics (99 citations). Lu An has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Wilfred Ng, Chuanming Yu, Yiping Ke, James Cheng, Gang Li, Xia Lin, Gang Li, Xiaoli Zhao, Josep M. Guerrero and Wenhua Wu. Their work appears in journals such as Journal of Information Science, Current Neurovascular Research, Information Processing & Management, Scientometrics and Online Information Review.

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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