Yangming Zhou

2.3k citations
76 papers · 1.4k · h-index 21

Impact in

Papers in

Yangming Zhou

72 papers receiving 1.4k citations

Peers

Yangming Zhou
Comparison fields: 5 of 144
  • Industrial and Manufacturing Engineering 250
  • Artificial Intelligence 620
  • Management Science and Operations Research 140
  • Health Information Management 47
  • Signal Processing 82
Replace Abiodun M. Ikotun with:
Abiodun M. Ikotun South Africa
Pedro Á. Castillo Spain
Kamal Taha United Arab Emirates
Lazaros Iliadis Greece
Benoît Frénay‬ Belgium
José A. Gámez Spain
Chuan Luo China
Olatz Arbelaitz Spain
Yong-Hyuk Kim South Korea
Pericles A. Mitkas Greece
Yangming Zhou relative to Abiodun M. Ikotun South Africa Abiodun M. Ikotun's profile →
Citations per field
00.5×10×15.7×
Abiodun M. Ikotun · 1×
Citations per year

Countries citing papers authored by Yangming Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Yangming Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014133
2 2019103
3 201964
4 201763
5 202362
6 201860
7 202253
8 201850
9 201648
10 202347
11 201945
12 202344
13 202236
14 201633
15 202031
16 201930
17 202029
18 201828
19 201924
20 202322

About Yangming Zhou

Yangming Zhou is a scholar working on Artificial Intelligence, Industrial and Manufacturing Engineering, Molecular Biology, Management Science and Operations Research and Signal Processing, having authored 76 papers that have together received 1.4k indexed citations. Recurring topics across this work include Vehicle Routing Optimization Methods (17 papers), Topic Modeling (13 papers), Biomedical Text Mining and Ontologies (13 papers), Scheduling and Timetabling Solutions (7 papers), Data Management and Algorithms (7 papers), Natural Language Processing Techniques (7 papers), Metaheuristic Optimization Algorithms Research (7 papers) and Facility Location and Emergency Management (5 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (250 citations), Artificial Intelligence (620 citations), Management Science and Operations Research (140 citations), Health Information Management (47 citations) and Signal Processing (82 citations). Yangming Zhou has collaborated with scholars based in China, France and United States. Frequent co-authors include Jin‐Kao Hao, Tong Ruan, Béatrice Duval, Yangguang Liu, Ping He, MengChu Zhou, Shiting Wen, Chaogang Tang, Guoping Qiu and Qi Wang. Their work appears in journals such as INFORMS journal on computing, Knowledge-Based Systems, Expert Systems with Applications, IEEE Transactions on Intelligent Transportation Systems and Journal of Biomedical Informatics.

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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