Ming Wan

920 citations
58 papers · 621 · 1 hit paper · h-index 12

Impact in

Papers in

Ming Wan

52 papers receiving 609 citations

Ming Wan's Hit Papers

Feature selection for multi-label learning based on variable-degree multi-granulation decision-theoretic rough sets 2024 · 77 citations
770+1Years since publication255075

Peers

Ming Wan
Comparison fields: 5 of 114
  • Cancer Research 176
  • Computer Graphics and Computer-Aided Design 28
  • Hepatology 45
  • Computer Vision and Pattern Recognition 79
  • Hematology 36
Replace Robert Underwood with:
Robert Underwood United States
Yasuyuki Sato Japan
Priya N. Werahera United States
Edward A. Ashton United States
Zhitao Ying China
Simon Chen United States
Jing Gong China
Yuji Hatanaka Japan
Daisuke Komura Japan
Matahi Moarii France
Ming Wan relative to Robert Underwood United States Robert Underwood's profile →
Citations per field
00.5×2×3×4×5×
Robert Underwood · 1×
Citations per year

Countries citing papers authored by Ming Wan

Since Specialization
Citations

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

Fields of papers citing papers by Ming Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Feature selection for multi-label learning based on variable-degree multi-granulation decision-theoretic rough sets
Hit paper breakdown →
202477
2 201765
3 201447
4 201443
5 200239
6 201739
7 201725
8 202024
9 201423
10 201522
11 201817
12 200512
13
Diwu Yanggan capsule improving liver histological response for patients with HBeAg-negative chronic hepatitis B: a randomized controlled clinical trial.
201812
14 201612
15 201611
16 201810
17 20219
18
Diwu Yanggan capsule inhibits the occurrence and development of liver cancer in the Solt-Farber rat model by regulating the Ras/Raf/Mek/Erk signaling pathway.
20189
19 20239
20 20219

About Ming Wan

Ming Wan is a scholar working on Computer Graphics and Computer-Aided Design, Cancer Research, Hematology, Hepatology and Oncology, having authored 58 papers that have together received 621 indexed citations. Recurring topics across this work include Cholangiocarcinoma and Gallbladder Cancer Studies (7 papers), Hematopoietic Stem Cell Transplantation (7 papers), Computer Graphics and Visualization Techniques (6 papers), Advanced Vision and Imaging (5 papers), Cancer-related molecular mechanisms research (5 papers), MicroRNA in disease regulation (5 papers), Hepatocellular Carcinoma Treatment and Prognosis (4 papers) and 3D Shape Modeling and Analysis (3 papers). The work is most often cited by research in Cancer Research (176 citations), Computer Graphics and Computer-Aided Design (28 citations), Hepatology (45 citations), Computer Vision and Pattern Recognition (79 citations) and Hematology (36 citations). Ming Wan has collaborated with scholars based in China, United States and France. Frequent co-authors include Yunfu Cui, Pengcheng Kang, Xingming Jiang, Xiangyu Zhong, Yi Xu, Jin Gui Qian, Duoqian Miao, Kaiming Leng, Fumin Zhang and Zhenglong Li. Their work appears in journals such as Frontiers in Medicine, Bone Marrow Transplantation, Medicine, Oncotarget and PLoS ONE.

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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