Lan Shu

1.4k citations
104 papers · 1.1k · h-index 19

Impact in

Papers in

Lan Shu

95 papers receiving 1.0k citations

Peers

Lan Shu
Comparison fields: 5 of 92
  • Management Science and Operations Research 350
  • Computational Theory and Mathematics 306
  • Statistics and Probability 79
  • Computer Networks and Communications 216
  • Control and Systems Engineering 165
Replace Sergeĭ Ovchinnikov with:
Sergeĭ Ovchinnikov United States
Svetoslav Markov Bulgaria
Javier Yáñez Spain
H. W. Corley United States
George P. Papavassilopoulos United States
Huizhen Yu United States
Tim van Erven Netherlands
Ali Muhammad Ali Rushdi Saudi Arabia
Boris Goldengorin Netherlands
Antanas Žilinskas
Lan Shu relative to Sergeĭ Ovchinnikov United States Sergeĭ Ovchinnikov's profile →
Citations per field
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Sergeĭ Ovchinnikov · 1×
Citations per year

Countries citing papers authored by Lan Shu

Since Specialization
Citations

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

Fields of papers citing papers by Lan Shu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 104 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201755
2 201444
3 201544
4 201143
5 201640
6 202339
7 200838
8 201837
9 201534
10 201533
11 202233
12 201532
13 201429
14 201424
15 201424
16 202223
17 200821
18 201219
19 201518
20 202217

About Lan Shu

Lan Shu is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Management Science and Operations Research, Computer Networks and Communications and Control and Systems Engineering, having authored 104 papers that have together received 1.1k indexed citations. Recurring topics across this work include Rough Sets and Fuzzy Logic (27 papers), Neural Networks Stability and Synchronization (16 papers), Multi-Criteria Decision Making (16 papers), Quantum Mechanics and Applications (8 papers), Quantum Computing Algorithms and Architecture (8 papers), Quantum Information and Cryptography (8 papers), Distributed Control Multi-Agent Systems (8 papers) and Stability and Control of Uncertain Systems (8 papers). The work is most often cited by research in Management Science and Operations Research (350 citations), Computational Theory and Mathematics (306 citations), Statistics and Probability (79 citations), Computer Networks and Communications (216 citations) and Control and Systems Engineering (165 citations). Lan Shu has collaborated with scholars based in China, New Zealand and Austria. Frequent co-authors include Haidong Zhang, Shouming Zhong, Dong Qiu, Xin Wang, Xuehua Li, Zhiwen Mo, Xiangyan Zeng, Xiu Liu, Jing Jiang and Guimin Huang. Their work appears in journals such as Fuzzy Sets and Systems, Soft Computing, International Journal of Fuzzy Systems, Journal of the Franklin Institute and Applied Mathematics and Computation.

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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