Ming Li

6.1k citations
238 papers · 4.3k · 1 hit paper · h-index 33

Impact in

Papers in

Ming Li

211 papers receiving 4.2k citations

Ming Li's Hit Papers

Tri-training: exploiting unlabeled data using three classifiers 2005 · 939 citations
9390+7+14Years since publication250500750

Peers

Ming Li
Comparison fields: 5 of 94
  • Industrial and Manufacturing Engineering 524
  • Building and Construction 418
  • Information Systems 373
  • Artificial Intelligence 560
  • Computer Networks and Communications 280
Replace Chao Chen with:
Chao Chen China
Abdelaziz Bouras Qatar
Wolfgang Kästner Austria
Francesco Marcelloni Italy
Zhong Fan United Kingdom
Lei Ren China
Paulo Leitão Portugal
Noël Crespi France
Jinsong Wu China
Hao Wang Norway
Ming Li relative to Chao Chen China Chao Chen's profile →
Citations per field
00.5×1.5×2×2.5×
Chao Chen · 1×
Citations per year

Countries citing papers authored by Ming Li

Since Specialization
Citations

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

Fields of papers citing papers by Ming Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 238 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Tri-training: exploiting unlabeled data using three classifiers
Hit paper breakdown →
2005939
2 2004205
3 2018165
4 2021163
5 2020120
6 2022113
7 2013109
8 2020100
9 201993
10 202176
11 201975
12 202373
13 200172
14 202167
15 201858
16 202156
17 202254
18 202350
19 201748
20 201948

About Ming Li

Ming Li is a scholar working on Industrial and Manufacturing Engineering, Information Systems, Building and Construction, Computer Networks and Communications and Management Science and Operations Research, having authored 238 papers that have together received 4.3k indexed citations. Recurring topics across this work include Blockchain Technology Applications and Security (13 papers), BIM and Construction Integration (12 papers), Scheduling and Optimization Algorithms (10 papers), Metaheuristic Optimization Algorithms Research (8 papers), Digital Transformation in Industry (6 papers), Multi-Criteria Decision Making (6 papers), Energy Efficient Wireless Sensor Networks (5 papers) and Sustainable Supply Chain Management (5 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (524 citations), Building and Construction (418 citations), Information Systems (373 citations), Artificial Intelligence (560 citations) and Computer Networks and Communications (280 citations). Ming Li has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Zhi‐Hua Zhou, George Q. Huang, Gangyan Xu, Ray Y. Zhong, Yishuo Jiang, Saijun Shao, Chun‐Hsien Chen, Imrich Chlamtac, Balakrishnan Prabhakaran and Hua Zhu. Their work appears in journals such as Advanced Engineering Informatics, Computers & Industrial Engineering, Automation in Construction, Transportation Research Part E Logistics and Transportation Review and Robotics and Computer-Integrated Manufacturing.

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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