Ming Pan

2.5k citations
101 papers · 2.1k · h-index 30

Impact in

Papers in

Ming Pan

99 papers receiving 2.1k citations

Peers

Ming Pan
Comparison fields: 5 of 145
  • Biochemistry 216
  • Control and Systems Engineering 533
  • Industrial and Manufacturing Engineering 199
  • Clinical Biochemistry 99
  • Mechanical Engineering 423
Replace Dongxia Zhang with:
Dongxia Zhang China
Flavio Manenti Italy
Ni Chen China
François Vallée Belgium
Bohong Wang China
Carlo Meloni Italy
Jianghua Zhang China
Junyan Ma China
Wenhua Li China
Ming Pan relative to Dongxia Zhang China Dongxia Zhang's profile →
Citations per field
00.5×10×12.7×
Dongxia Zhang · 1×
Citations per year

Countries citing papers authored by Ming Pan

Since Specialization
Citations

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

Fields of papers citing papers by Ming Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 101 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001139
2 201599
3 200686
4 201677
5 201176
6 201562
7 199554
8 201354
9 200252
10 201552
11 201648
12 199546
13 201945
14 201241
15 199540
16 199239
17 201736
18 201836
19 201936
20 201235

About Ming Pan

Ming Pan is a scholar working on Control and Systems Engineering, Mechanical Engineering, Biochemistry, Molecular Biology and Industrial and Manufacturing Engineering, having authored 101 papers that have together received 2.1k indexed citations. Recurring topics across this work include Process Optimization and Integration (42 papers), Advanced Control Systems Optimization (24 papers), Amino Acid Enzymes and Metabolism (17 papers), Heat Transfer and Optimization (11 papers), Advanced Multi-Objective Optimization Algorithms (10 papers), Clinical Nutrition and Gastroenterology (8 papers), Carbon Dioxide Capture Technologies (5 papers) and Sustainable Industrial Ecology (5 papers). The work is most often cited by research in Biochemistry (216 citations), Control and Systems Engineering (533 citations), Industrial and Manufacturing Engineering (199 citations), Clinical Biochemistry (99 citations) and Mechanical Engineering (423 citations). Ming Pan has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Igor Bulatov, Robin Smith, Wiley W. Souba, Anne M. Karinch, Bruce R. Stevens, Chang He, Cheng‐mao Lin, Xiuxi Li, Janusz Sikorski and Markus Kraft. Their work appears in journals such as Journal of Surgical Research, Journal of Gastrointestinal Surgery, Applied Energy, Industrial & Engineering Chemistry Research and Journal of Nutrition.

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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