Lianmeng Jiao

615 citations
39 papers · 382 indexed · h-index 10

Lianmeng Jiao

34 papers receiving 376 citations

Peers

Lianmeng Jiao
Comparison fields: 5 of 64
  • Artificial Intelligence 259
  • Management Science and Operations Research 65
  • Computational Theory and Mathematics 81
  • Computer Vision and Pattern Recognition 71
  • Information Systems 75
Replace Xuewen Chen with:
Xuewen Chen United States
Hossein Karshenas Iran
Debrup Chakraborty India
Sarah Vluymans Belgium
Javad Hamidzadeh Iran
Xiubin Zhu China
P. Vannoorenberghe France
Minghu Ha China
Ming-Hu Ha China
Jun Zhan China
Lianmeng Jiao relative to Xuewen Chen United States Xuewen Chen's profile →
Citations per field
00.5×3.7×
Xuewen Chen · 1×
Citations per year

Countries citing papers authored by Lianmeng Jiao

Since Specialization
Citations

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

Fields of papers citing papers by Lianmeng Jiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 21 scholars most cited alongside Lianmeng Jiao, 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 Lianmeng Jiao Line = papers co-authored together Lianmeng Jiao links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20241
4 20240
5 20240
6 20242
7 20244
8 20245
9 20237
10 20232
11 202230
12 20219
13 20214
14 20196
15 201410
16 20140
17
A Multi-source intelligence fusion methodology for early-warning system based on evidential reasoning algorithm
20131
18
MAP joint identification and estimation for over-the-horizon radar
20131
19 201316
20
Converted Measurement Kalman filter with nonlinear equality constrains
20122

About Lianmeng Jiao

Lianmeng Jiao is a scholar working on Artificial Intelligence, Management Science and Operations Research and Computational Theory and Mathematics, having authored 39 papers that have together received 382 indexed citations. Recurring topics across this work include Text and Document Classification Technologies (9 papers), Rough Sets and Fuzzy Logic (8 papers), Target Tracking and Data Fusion in Sensor Networks (8 papers), Multi-Criteria Decision Making (7 papers), Advanced Clustering Algorithms Research (7 papers), Machine Learning and Data Classification (6 papers), Data Mining Algorithms and Applications (6 papers) and Fuzzy Logic and Control Systems (6 papers). The work is most often cited by research in Artificial Intelligence (259 citations), Management Science and Operations Research (65 citations) and Computational Theory and Mathematics (81 citations). Lianmeng Jiao has collaborated with scholars based in China and France. Frequent co-authors include Quan Pan, Thierry Denœux, Yan Liang, Zhunga Liu, Haoyu Yang, Yan Liang, Xiaoxue Feng, Lin Zhou, Zengfu Wang and Feng Yang. Their work appears in journals such as Expert Systems with Applications, IEEE Access and Sensors.

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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