Zequan Liu
- Health Informatics top 10%
- Artificial Intelligence top 5%
- AI in cancer detection 2
-
- Digital Imaging for Blood Diseases 1
-
- Radiomics and Machine Learning in Medical Imaging 2
-
- Translation Studies and Practices 3
- Lexicography and Language Studies 1
-
- Swearing, Euphemism, Multilingualism 1
-
- Extenics and Innovation Methods 1
-
- Pharmacological Effects of Natural Compounds 1
- Co-authors
- Jiancheng YangHanspeter PfisterRui ShiBingbing NiLin ZhaoDonglai WeiYansong ZhangLijia Yu
- Journals
- Scientific Data (1 paper)International Immunopharmacology (1 paper)International Journal of Educational Development (1 paper)
- Partner nations
- ChinaGermanyUnited States
In The Last Decade
Zequan Liu
7 papers receiving 398 citations
Hit Papers
Peers
Comparison fields: 5 of 91
- Health Informatics 17
- Artificial Intelligence 252
- Computer Vision and Pattern Recognition 94
- Radiology, Nuclear Medicine and Imaging 105
- Neurology 34
Countries citing papers authored by Zequan Liu
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
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
The 17 scholars most cited alongside Zequan Liu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | MedMNIST v2 - A large-scale lightweight benchmark for 2D and 3D biomedical image classificationbreakdown → | 2023 | 345 |
| 3 | 2023 | 1 | |
| 4 | 2020 | 51 | |
| 5 | 2015 | 2 | |
| 6 | Choice and Style:On the English Translation of the Reporting Verbs Headed by Dao in Hong Lou Meng | 2010 | 2 |
| 7 | 2008 | 4 | |
| 8 | 2001 | 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), AI in cancer detection (2 papers), Swearing, Euphemism, Multilingualism (1 paper), Lexicography and Language Studies (1 paper), Digital Imaging for Blood Diseases (1 paper), Extenics and Innovation Methods (1 paper) and Pharmacological Effects of Natural Compounds (1 paper). 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.