Zequan Liu

946 citations
8 papers · 412 indexed · 1 hit paper · h-index 4
Topics
Translation Studies and Practices (3 papers)Radiomics and Machine Learning in Medical Imaging (2 papers)AI in cancer detection (2 papers)

In The Last Decade

Zequan Liu

7 papers receiving 398 citations

Hit Papers

MedMNIST v2 - A large-scale lightweight benchmark for 2D ...20232026202420252023100200300

Peers

Zequan Liu
Comparison fields: 5 of 91
  • Artificial Intelligence 252
  • Radiology, Nuclear Medicine and Imaging 105
  • Computer Vision and Pattern Recognition 94
  • Pharmacology 35
  • Neurology 34
Replace Karim Abbasi with:
Karim Abbasi Iran
Jialun Wu China
Xianglu Xiao China
Bin Xia China
Nabeela Kausar Pakistan
V. N. Manjunath Aradhya India
Luciano Caroprese Italy
Wael A. Awad Egypt
Parvin Razzaghi Iran
Zequan Liu relative to Karim Abbasi Iran Karim Abbasi's profile →
Citations per field
00.5×
Karim Abbasi · 1×
Citations per year

Countries citing papers authored by Zequan Liu

Since Specialization
Citations

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

Fields of papers citing papers by Zequan Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zequan Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Zequan Liu. A scholar is included among the top collaborators of Zequan Liu 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 Zequan Liu. Zequan Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
#WorkIndexed citations
1 0
2
MedMNIST v2 - A large-scale lightweight benchmark for 2D and 3D biomedical image classificationbreakdown →
345
3 1
4 51
5 2
6
Choice and Style:On the English Translation of the Reporting Verbs Headed by Dao in Hong Lou Meng
2
7 4
8 7

About Zequan Liu

Zequan Liu is a scholar working on Language and Linguistics, Communication and Pharmacology, having authored 8 papers that have together received 412 indexed citations. Recurring topics across this work include Translation Studies and Practices (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and AI in cancer detection (2 papers). The work is most often cited by research in Health Informatics (17 citations), Artificial Intelligence (252 citations) and Computer Vision and Pattern Recognition (94 citations). Zequan Liu has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Jiancheng Yang, Hanspeter Pfister, Rui Shi, Bingbing Ni, Lin Zhao, Donglai Wei, Yansong Zhang, Lijia Yu, Xiaodong Shi and Peishuang Du. Their work appears in journals such as Scientific Data, International Immunopharmacology and International Journal of Educational Development.

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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