Ming Liang

2.3k citations
30 papers · 713 indexed · 1 hit paper · h-index 12
Topics
Virology and Viral Diseases (2 papers)Fault Detection and Control Systems (2 papers)MicroRNA in disease regulation (2 papers)
Partner nations
ChinaGermanyBrazil

In The Last Decade

Ming Liang

26 papers receiving 696 citations

Hit Papers

Evaluate the Malignancy of Pulmonary Nodules Using the 3-...20192026202120232019100200300

Peers

Ming Liang
Comparison fields: 5 of 113
  • Radiology, Nuclear Medicine and Imaging 275
  • Pulmonary and Respiratory Medicine 214
  • Artificial Intelligence 134
  • Computer Vision and Pattern Recognition 93
  • Molecular Biology 83
Replace Liang Wu with:
Liang Wu China
Shidin Balakrishnan Qatar
Simin Chen China
Artur Klepaczko Poland
Sung Min Kim South Korea
Mohammed Yusuf Ansari Qatar
Wenliang Che China
Jasjit S. Suri United States
Tianyi Xia China
Ming Liang relative to Liang Wu China Liang Wu's profile →
Citations per field
00.5×3.6×
Liang Wu · 1×
Citations per year

Countries citing papers authored by Ming Liang

Since Specialization
Citations

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

Fields of papers citing papers by Ming Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Liang. A scholar is included among the top collaborators of Ming Liang 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 Liang. Ming Liang 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
#WorkIndexed citations
1 1
2 1
3 0
4 1
5 1
6 0
7 38
8 4
9 4
10 8
11 10
12 14
13 7
14 17
15 6
16 80
17
Convolutional neural networks with intra-layer recurrent connections for scene labeling
40
18 29
19 21
20
[Safety evaluation of the offspring conceived by assisted reproductive technology with donor's semen].
1

About Ming Liang

Ming Liang is a scholar working on Reproductive Medicine, Cancer Research and Hepatology, having authored 30 papers that have together received 713 indexed citations. Recurring topics across this work include Virology and Viral Diseases (2 papers), Fault Detection and Control Systems (2 papers) and MicroRNA in disease regulation (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (275 citations), Health Informatics (9 citations) and Pulmonary and Respiratory Medicine (214 citations). Ming Liang has collaborated with scholars based in China, Germany and Brazil. Frequent co-authors include Xiaolin Hu, Zhe Li, Sen Song, Fangzhou Liao, Yidan Shu, Jinsong Zhao, Bo Zhang, Xiaoyu Zhang, Jingyuan Li and Shuchen Li. Their work appears in journals such as The FASEB Journal, Journal of Hydrology and Carbohydrate Polymers.

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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