Ming Feng

1.1k total citations
71 papers, 714 citations indexed

About

Ming Feng is a scholar working on Molecular Biology, Artificial Intelligence and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Ming Feng has authored 71 papers receiving a total of 714 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 13 papers in Artificial Intelligence and 13 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Ming Feng's work include Pituitary Gland Disorders and Treatments (11 papers), Speech and Audio Processing (5 papers) and Adrenal and Paraganglionic Tumors (5 papers). Ming Feng is often cited by papers focused on Pituitary Gland Disorders and Treatments (11 papers), Speech and Audio Processing (5 papers) and Adrenal and Paraganglionic Tumors (5 papers). Ming Feng collaborates with scholars based in China, United States and Iran. Ming Feng's co-authors include Xuemei Tong, Yemin Zhu, Hao Xu, Shuhai Lin, Yakui Li, Lifang Wu, Kele Xu, Hao Xu, Ying Lu and Lingfeng Tong and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Cancer Research.

In The Last Decade

Ming Feng

60 papers receiving 704 citations

Peers

Ming Feng
Comparison fields: 5 of 110
  • Molecular Biology 220
  • Cancer Research 141
  • Surgery 100
  • Radiology, Nuclear Medicine and Imaging 91
  • Endocrinology, Diabetes and Metabolism 90
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Yifang Chen China
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Citations per field, relative to Ming Feng
Ming Feng · 1×
Citations per year, relative to Ming Feng
Ming Feng · 1×

Countries citing papers authored by Ming Feng

Since Specialization
Citations

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

Fields of papers citing papers by Ming Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Feng

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Feng. A scholar is included among the top collaborators of Ming Feng 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 Feng. Ming Feng 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
# Work Indexed citations
1 0
2 11
3 0
4 4
5 3
6 7
7
Deep Learning for the Automatic Diagnosis and Analysis of Bone Metastasis on Bone Scintigrams
28
8 25
9 7
10 3
11 5
12 2
13 43
14
Comparision of curative effect of augmented reality assisted neuroendosope and small bone window craniotomy for hypertensive cerebral hemorrhage
1
15 31
16 2
17 91
18 16
19 16
20 40

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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