Ming Liang

54 total papers · 2.3k total citations
30 papers, 708 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 708 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 Sperm and Testicular Function (2 papers), Rocket and propulsion systems research (2 papers) and Fault Detection and Control Systems (2 papers). Ming Liang is often cited by papers focused on Sperm and Testicular Function (2 papers), Rocket and propulsion systems research (2 papers) and Fault Detection and Control Systems (2 papers). Ming Liang collaborates with scholars based in China, France and Brazil. Ming Liang's co-authors include Xiaolin Hu, Fangzhou Liao, Sen Song, Zhe Li, Yidan Shu, Jinsong Zhao, Bo Zhang, Shuchen Li, Xiaoyu Zhang and Jingyuan 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 690 citations

Hit Papers

Evaluate the Malignancy o... 2019 2026 2021 2023 2019 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ming Liang 273 213 133 92 83 30 708
Guobin Zhang 327 1.2× 337 1.6× 104 0.8× 93 1.0× 152 1.8× 51 908
Ioannis Valavanis 168 0.6× 80 0.4× 173 1.3× 152 1.7× 100 1.2× 34 695
Zhiguo Zhou 537 2.0× 268 1.3× 273 2.1× 33 0.4× 41 0.5× 36 853
Xinglong Wu 333 1.2× 76 0.4× 245 1.8× 87 0.9× 37 0.4× 34 677
Zhibin Liao 349 1.3× 118 0.6× 247 1.9× 125 1.4× 56 0.7× 50 742
Jingyang Gao 154 0.6× 27 0.1× 160 1.2× 103 1.1× 132 1.6× 55 659
Xu Sun 187 0.7× 59 0.3× 366 2.8× 132 1.4× 44 0.5× 34 863
Shidin Balakrishnan 116 0.4× 54 0.3× 86 0.6× 193 2.1× 64 0.8× 26 695
Changmiao Wang 221 0.8× 112 0.5× 175 1.3× 276 3.0× 73 0.9× 65 750
Zhipei Huang 210 0.8× 141 0.7× 83 0.6× 44 0.5× 23 0.3× 51 634

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

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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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