Ming Liang

2.3k total citations · 1 hit paper
30 papers, 713 citations indexed

About

Ming Liang is a scholar working on Epidemiology, Oncology and Reproductive Medicine. According to data from OpenAlex, Ming Liang has authored 30 papers receiving a total of 713 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Epidemiology, 4 papers in Oncology and 4 papers in Reproductive Medicine. Recurrent topics in Ming Liang's work include Virology and Viral Diseases (2 papers), Fault Detection and Control Systems (2 papers) and MicroRNA in disease regulation (2 papers). Ming Liang is often cited by papers focused on Virology and Viral Diseases (2 papers), Fault Detection and Control Systems (2 papers) and MicroRNA in disease regulation (2 papers). Ming Liang collaborates with scholars based in China, Germany and Brazil. Ming Liang's co-authors include Xiaolin Hu, Zhe Li, Sen Song, Fangzhou Liao, Yidan Shu, Jinsong Zhao, Bo Zhang, Xiaoyu Zhang, Jingyuan Li and Shuchen Li and has published in prestigious journals such as The FASEB Journal, Journal of Hydrology and Carbohydrate Polymers.

In The Last Decade

Ming Liang

26 papers receiving 696 citations

Hit Papers

Evaluate the Malignancy of Pulmonary Nodules Using the 3-... 2019 2026 2021 2023 2019 100 200 300

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 Guobin Zhang with:
Guobin Zhang China
Zhibin Liao Australia
Kwang-Baek Kim South Korea
Shidin Balakrishnan Qatar
Jasjit S. Suri United States
Peiliang Wu China
Simin Chen China
Mónica Hernández Spain
Liang Wu China
Guobin Zhang China View profile →
Citations per field, relative to Ming Liang
Ming Liang · 1×
Citations per year, relative to Ming Liang
Ming Liang · 1×

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
# Work Indexed 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

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026