Ming Cheng

1.7k total citations
53 papers, 1.3k citations indexed

About

Ming Cheng is a scholar working on Molecular Biology, Industrial and Manufacturing Engineering and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Ming Cheng has authored 53 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 9 papers in Industrial and Manufacturing Engineering and 5 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Ming Cheng's work include Scheduling and Optimization Algorithms (7 papers), Advanced Manufacturing and Logistics Optimization (7 papers) and Estrogen and related hormone effects (5 papers). Ming Cheng is often cited by papers focused on Scheduling and Optimization Algorithms (7 papers), Advanced Manufacturing and Logistics Optimization (7 papers) and Estrogen and related hormone effects (5 papers). Ming Cheng collaborates with scholars based in China, United Kingdom and United States. Ming Cheng's 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 and has published in prestigious journals such as Journal of Bone and Mineral Research, Journal of Applied Mechanics and European Journal of Pharmacology.

In The Last Decade

Ming Cheng

50 papers receiving 1.3k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ming Cheng China 19 465 330 233 213 155 53 1.3k
Noriaki Yamamoto Japan 24 590 1.3× 293 0.9× 120 0.5× 166 0.8× 323 2.1× 126 1.7k
Guillaume Dubois France 20 506 1.1× 130 0.4× 314 1.3× 120 0.6× 94 0.6× 64 1.8k
Yanheng Zhou China 32 1.3k 2.8× 99 0.3× 272 1.2× 218 1.0× 192 1.2× 121 3.6k
Toshiyuki Horiuchi Japan 20 190 0.4× 243 0.7× 332 1.4× 114 0.5× 220 1.4× 167 1.5k
Chenxi Li China 16 188 0.4× 148 0.4× 64 0.3× 114 0.5× 133 0.9× 126 1.3k
Simone Tassani Spain 12 334 0.7× 172 0.5× 217 0.9× 69 0.3× 85 0.5× 31 1.2k
Aurélie Carlier Netherlands 23 386 0.8× 64 0.2× 712 3.1× 55 0.3× 84 0.5× 65 1.6k
Gabriella Teti Italy 24 520 1.1× 46 0.1× 284 1.2× 49 0.2× 134 0.9× 104 1.6k
James Andrews United States 21 233 0.5× 448 1.4× 348 1.5× 247 1.2× 164 1.1× 68 1.9k
Vinod Krishnan India 17 708 1.5× 62 0.2× 109 0.5× 122 0.6× 81 0.5× 46 2.1k

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-authorship network of co-authors of Ming Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Cheng. A scholar is included among the top collaborators of Ming Cheng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ming Cheng. Ming Cheng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Liu, Huan, et al.. (2025). Construction of a Nutrition Management Guidance Flowchart for Patients With Chronic Wounds Based on Best Evidence. International Wound Journal. 22(4). e70172–e70172.
2.
Sarin, Subhash C., et al.. (2024). Single-lot, lot-streaming problem for a 1 + m hybrid flow shop. Journal of Global Optimization. 89(2). 435–455. 2 indexed citations
3.
Song, Qian, et al.. (2024). Psychometric Properties of Different Short Forms of Social Interaction Anxiety Scale in Chinese College Students. Psychology Research and Behavior Management. Volume 17. 3405–3418. 1 indexed citations
5.
Cheng, Ming, et al.. (2021). Enoxaparin-induced reactive thrombocytosis: a case report. Thrombosis Journal. 19(1). 34–34. 4 indexed citations
6.
Tan, Bo, Ming Cheng, Feng Liao, et al.. (2021). A systematic review and meta-analysis of elastic stockings for prevention of thrombosis after orthopedic surgery. Annals of Palliative Medicine. 10(10). 10467–10474. 5 indexed citations
7.
Cheng, Ming, et al.. (2021). The association between poor sleep quality and anxiety and depression symptoms in Chinese patients with coronary heart disease. Psychology Health & Medicine. 27(6). 1347–1356. 18 indexed citations
8.
Cheng, Ming, Feng Zhang, Wenlai Tang, et al.. (2020). A review of flexible force sensors for human health monitoring. Journal of Advanced Research. 26. 53–68. 154 indexed citations
10.
Chen, Yifei, et al.. (2019). Exchange protein directly activated by cAMP (Epac) protects against airway inflammation and airway remodeling in asthmatic mice. Respiratory Research. 20(1). 285–285. 20 indexed citations
11.
Cheng, Ming, et al.. (2016). The effectiveness of Chinese herbal medicine in women undergoing in vitro fertilisation and embryo transportation: a systematic review of randomised controlled trials. Middlesex University Research Repository (Middlesex University Of London). 1 indexed citations
12.
Chen, Yifei, Jie Cao, Xia Chen, et al.. (2014). Plasma membrane Ca2+-ATPase regulates Ca2+ signaling and the proliferation of airway smooth muscle cells. European Journal of Pharmacology. 740. 733–741. 25 indexed citations
13.
Cheng, Ming, Niloy Mukherjee, & Subhash C. Sarin. (2013). A review of lot streaming. International Journal of Production Research. 51(23-24). 7023–7046. 68 indexed citations
14.
Cheng, Ming, Zhi‐Yong Pan, Jiong Yang, & Yadong Gao. (2013). Corticosteroid Therapy for Severe Community-Acquired Pneumonia: A Meta-Analysis. Respiratory Care. 59(4). 557–563. 29 indexed citations
15.
Cheng, Ming & Subhash C. Sarin. (2013). Two-stage, Multiple-lot, Lot Streaming Problem for a 1 + 2 Hybrid Flow Shop. IFAC Proceedings Volumes. 46(9). 448–453. 12 indexed citations
16.
Cheng, Ming, et al.. (2012). Tonifying method in Shang Han Lun. Middlesex University Research Repository (Middlesex University Of London). 1 indexed citations
17.
Sarin, Subhash C., Lixin Wang, & Ming Cheng. (2011). A single-machine, single-wafer-processing, multiple-lots-per-carrier scheduling problem to minimize the sum of lot completion times. Computers & Operations Research. 39(7). 1411–1418. 5 indexed citations
18.
Razzaque, Mohammed S., et al.. (2001). The Renal Expression of Heat Shock Protein 47 and Collagens in Acute And Chronic Experimental Diabetes in Rats. The Histochemical Journal. 33(11-12). 621–628. 41 indexed citations
19.
Zaman, Gul, Ming Cheng, Helen Jessop, R White, & Lance E. Lanyon. (2000). Mechanical strain activates estrogen response elements in bone cells. Bone. 27(2). 233–239. 83 indexed citations
20.
Zaman, Gul, Rosemary F. L. Suswillo, Ming Cheng, I A Tavares, & Lance E. Lanyon. (1997). Early Responses to Dynamic Strain Change and Prostaglandins in Bone-Derived Cells in Culture. Journal of Bone and Mineral Research. 12(5). 769–777. 82 indexed citations

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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