Li Yan

2.2k citations
139 papers · 1.3k · h-index 19

Impact in

Papers in

Li Yan

130 papers receiving 1.2k citations

Peers

Li Yan
Comparison fields: 5 of 91
  • Signal Processing 567
  • Artificial Intelligence 764
  • Computer Networks and Communications 511
  • Information Systems 442
  • Geography, Planning and Development 73
Replace Kai Zeng with:
Kai Zeng China
Le Gruenwald United States
Kai-Uwe Sattler Germany
Evgeny Kharlamov Germany
Maurice van Keulen Netherlands
Demetrios Zeinalipour-Yazti Cyprus
Ladjel Bellatreche France
Bolong Zheng China
Antonios Deligiannakis Greece
Tianyu Wo China
Li Yan relative to Kai Zeng China Kai Zeng's profile →
Citations per field
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Kai Zeng · 1×
Citations per year

Countries citing papers authored by Li Yan

Since Specialization
Citations

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

Fields of papers citing papers by Li Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 139 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201978
2 200773
3 201646
4 201638
5 201033
6 201127
7 201127
8 201826
9 200626
10 201726
11 200925
12 200824
13 201923
14 201222
15 201021
16 201120
17 201220
18 201218
19 200918
20 201018

About Li Yan

Li Yan is a scholar working on Artificial Intelligence, Signal Processing, Computer Networks and Communications, Information Systems and Computer Vision and Pattern Recognition, having authored 139 papers that have together received 1.3k indexed citations. Recurring topics across this work include Data Management and Algorithms (75 papers), Semantic Web and Ontologies (64 papers), Advanced Database Systems and Queries (56 papers), Service-Oriented Architecture and Web Services (34 papers), Constraint Satisfaction and Optimization (14 papers), Advanced Graph Neural Networks (11 papers), Topic Modeling (9 papers) and Web Data Mining and Analysis (8 papers). The work is most often cited by research in Signal Processing (567 citations), Artificial Intelligence (764 citations), Computer Networks and Communications (511 citations), Information Systems (442 citations) and Geography, Planning and Development (73 citations). Li Yan has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Zongmin Ma, Fu Zhang, Luyi Bai, Guanfeng Li, Jian Liu, Jingwei Cheng, Xiaowen Huang, Shengsheng Qian, Miriam A. M. Capretz and Jitao Sang. Their work appears in journals such as Fuzzy Sets and Systems, International Journal of Intelligent Systems, Integrated Computer-Aided Engineering, Journal of Intelligent & Fuzzy Systems and Expert Systems with Applications.

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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