Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if any of the following hold:
it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the
threshold is the minimum needed to enter the top 1%, not the average within it);
it 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-authors
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.
All Works
12 of 12 papers shown
#
Work
1
LightGBM: A Highly Efficient Gradient Boosting Decision Tree
Qiwei Ye is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Aerospace Engineering and Molecular Biology, having authored 12 papers that have together received 7.3k indexed citations. Recurring topics across this work include Imbalanced Data Classification Techniques (3 papers), Recommender Systems and Techniques (3 papers), Machine Learning and Data Classification (2 papers), GNSS positioning and interference (2 papers), Advanced Neural Network Applications (2 papers), Artificial Intelligence in Healthcare (1 paper), Aerogels and thermal insulation (1 paper) and Transition Metal Oxide Nanomaterials (1 paper). The work is most often cited by research in Artificial Intelligence (2.0k citations), Health Information Management (198 citations), Environmental Engineering (631 citations), Signal Processing (415 citations) and Management Science and Operations Research (451 citations). Qiwei Ye has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Guolin Ke, Qi Meng, Tie‐Yan Liu, Taifeng Wang, Thomas Finley, Wei Chen, Weidong Ma, Wei Xu, Dingcai Wu and Ruowen Fu. Their work appears in journals such as Carbon, Nature Machine Intelligence, Lecture notes in computer science, Lecture notes in electrical engineering 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.