Hao Liang

1.1k citations
74 papers · 455 indexed · 1 hit paper · h-index 13
Topics
Pancreatic and Hepatic Oncology Research (4 papers)Nanoplatforms for cancer theranostics (4 papers)Radiomics and Machine Learning in Medical Imaging (4 papers)
Partner nations
ChinaUnited StatesCanada

In The Last Decade

Hao Liang

61 papers receiving 443 citations

Hit Papers

Aggregation-Induced Emission Luminogens Realizing High-Co...2025202620255101520

Peers

Hao Liang
Comparison fields: 5 of 112
  • Surgery 106
  • Biomedical Engineering 83
  • Molecular Biology 68
  • Epidemiology 66
  • Cardiology and Cardiovascular Medicine 46
Replace Dongsheng Hong with:
Dongsheng Hong China
Lassina Barro Taiwan
Rui Jin China
Jiann‐Jyh Lai United States
Matthew L. Meizlish United States
Stephan Alexander Braun Germany
Hong Lei China
Xinghua Song China
Cheng-Hung Lee Taiwan
Yuki Ishihara Japan
Hao Liang relative to Dongsheng Hong China Dongsheng Hong's profile →
Citations per field
00.5×
Dongsheng Hong · 1×
Citations per year

Countries citing papers authored by Hao Liang

Since Specialization
Citations

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

Fields of papers citing papers by Hao Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hao Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Hao Liang. A scholar is included among the top collaborators of Hao 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 Hao Liang. Hao 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
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3 0
4 1
5 0
6 9
7 1
8 2
9 1
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11 0
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13 0
14 15
15 1
16 23
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[The efficacy of antiviral therapy and drug resistance analysis among HIV/AIDS patients with heroin addiction in Guangxi Zhuang Autonomous Region].
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About Hao Liang

Hao Liang is a scholar working on Hepatology, Geriatrics and Gerontology and Health Informatics, having authored 74 papers that have together received 455 indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (4 papers), Nanoplatforms for cancer theranostics (4 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). The work is most often cited by research in Hepatology (34 citations), Biological Psychiatry (9 citations) and Surgery (106 citations). Hao Liang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Chenglong Yang, Jianhua Huang, Qinghua Peng, Yonghui Zhang, Jianwei Shi, Lihua Peng, Malcolm Xing, Chao Hua, Jie Song and Xiaoxiao Li. Their work appears in journals such as Nature Communications, ACS Nano and Chemical Communications.

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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