Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average within
it), or reaches the top citation threshold in at least one of its specific research topics.
2017HAL (Le Centre pour la Communication Scientifique Directe)
This map shows the geographic impact of Qiwei Ye'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 Qiwei Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qiwei Ye more than expected).
This network shows the impact of papers produced by Qiwei Ye. 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 Qiwei Ye. The network helps show where Qiwei Ye may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Qiwei Ye, linked wherever they have
co-authored with each other. Click a name or a connecting line to browse the papers they
share.
Border = papers with Qiwei YeLine = papers co-authored togetherQiwei Ye links everyone, so they are left out of the graph.
Qiwei Ye is a scholar working on Health Information Management, Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems and Polymers and Plastics, having authored 8 papers that have together received 6.7k indexed citations. Recurring topics across this work include Imbalanced Data Classification Techniques (3 papers), Advanced Neural Network Applications (2 papers), Machine Learning and Data Classification (2 papers), Artificial Intelligence in Healthcare (1 paper), Protein Structure and Dynamics (1 paper), Neural Networks and Applications (1 paper), Machine Learning in Materials Science (1 paper) and Aerogels and thermal insulation (1 paper). The work is most often cited by research in Artificial Intelligence (1.8k citations), Health Information Management (214 citations), Environmental Engineering (603 citations), Health Informatics (50 citations) and Signal Processing (361 citations). Qiwei Ye has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Guolin Ke, Qi Meng, Thomas Finley, Tie‐Yan Liu, Taifeng Wang, Weidong Ma, Wei Chen, Dingcai Wu, Wei Xu and Shuting Zhang. Their work appears in journals such as Carbon, Nature Machine Intelligence, HAL (Le Centre pour la Communication Scientifique Directe), arXiv (Cornell University) and International Conference on Learning Representations.
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.