Ming Cheng

1.7k citations
53 papers · 1.3k · h-index 20

Impact in

Papers in

Ming Cheng

51 papers receiving 1.3k citations

Peers

Ming Cheng
Comparison fields: 5 of 136
  • Orthopedics and Sports Medicine 316
  • Industrial and Manufacturing Engineering 123
  • Cell Biology 123
  • Genetics 193
  • Molecular Biology 420
Replace Noriaki Yamamoto with:
Noriaki Yamamoto Japan
Philip Nasser United States
Myung‐Sun Kim South Korea
Toshiyuki Horiuchi Japan
Yanheng Zhou China
Guillaume Dubois France
Chenxi Li China
James Andrews United States
Jin Hao China
Timothy M. Simon United States
Ming Cheng relative to Noriaki Yamamoto Japan Noriaki Yamamoto's profile →
Citations per field
00.5×4.6×
Noriaki Yamamoto · 1×
Citations per year

Countries citing papers authored by Ming Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Ming Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999203
2 2020161
3 2001100
4 200085
5 199782
6 201370
7 200268
8 199950
9 199644
10 199443
11 200142
12 199738
13 201330
14 201425
15 201325
16 201523
17 202023
18 202222
19 201922
20 202122

About Ming Cheng

Ming Cheng is a scholar working on Industrial and Manufacturing Engineering, Molecular Biology, Genetics, Complementary and alternative medicine and Education, having authored 53 papers that have together received 1.3k indexed citations. Recurring topics across this work include Scheduling and Optimization Algorithms (7 papers), Advanced Manufacturing and Logistics Optimization (7 papers), Estrogen and related hormone effects (5 papers), Bone Metabolism and Diseases (4 papers), Optimization and Packing Problems (4 papers), Advanced Sensor and Energy Harvesting Materials (3 papers), Bone health and osteoporosis research (3 papers) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (3 papers). The work is most often cited by research in Orthopedics and Sports Medicine (316 citations), Industrial and Manufacturing Engineering (123 citations), Cell Biology (123 citations), Genetics (193 citations) and Molecular Biology (420 citations). Ming Cheng has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Lance E. Lanyon, Gul Zaman, Simon C.F. Rawlinson, Rosemary F. L. Suswillo, Subhash C. Sarin, Andrew A. Pitsillides, Helen Jessop, Gul Zaman, Liya Zhu and Jiquan Yang. Their work appears in journals such as Journal of Bone and Mineral Research, Journal of Global Optimization, The Journal of Cardiovascular Nursing, Psychology Health & Medicine and Materials & Design.

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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