Qiwei Ye

9.8k total citations · 1 hit paper
8 papers, 6.7k citations indexed

About

Qiwei Ye is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Qiwei Ye has authored 8 papers receiving a total of 6.7k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 2 papers in Information Systems and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Qiwei Ye's work include Imbalanced Data Classification Techniques (3 papers), Advanced Neural Network Applications (2 papers) and Machine Learning and Data Classification (2 papers). Qiwei Ye is often cited by papers focused on Imbalanced Data Classification Techniques (3 papers), Advanced Neural Network Applications (2 papers) and Machine Learning and Data Classification (2 papers). Qiwei Ye collaborates with scholars based in China, United Kingdom and United States. Qiwei Ye's 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 and has published in prestigious journals such as Carbon, Nature Machine Intelligence and HAL (Le Centre pour la Communication Scientifique Directe).

In The Last Decade

Qiwei Ye

6 papers receiving 6.5k citations

Hit Papers

align trajectories

What are hit papers?

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.

LightGBM: A Highly Efficient Gradient Boosting Decision Tree

2017 6.5k citations Guolin Ke, Qi Meng et al. HAL (Le Centre pour la Communication Scientifique Directe) profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Qiwei Ye China	5	1.8k	718	603	529	414	8	6.7k
Qi Meng China	9	1.9k 1.1×	731 1.0×	611 1.0×	533 1.0×	419 1.0×	21	6.7k
Weidong Ma China	13	1.9k 1.1×	721 1.0×	633 1.0×	529 1.0×	440 1.1×	50	6.9k
Zigang Lu China	6	2.1k 1.1×	687 1.0×	660 1.1×	522 1.0×	435 1.1×	17	8.8k
Taifeng Wang China	15	2.3k 1.3×	716 1.0×	600 1.0×	647 1.2×	666 1.6×	33	7.4k
Guolin Ke China	13	2.5k 1.4×	805 1.1×	624 1.0×	613 1.2×	492 1.2×	22	8.0k
Davide Chicco Canada	22	2.5k 1.3×	652 0.9×	560 0.9×	1.3k 2.4×	510 1.2×	70	9.5k
Thomas Finley United States	11	2.8k 1.5×	717 1.0×	609 1.0×	598 1.1×	715 1.7×	17	8.0k
Darrell Whitley United States	31	3.2k 1.7×	886 1.2×	589 1.0×	356 0.7×	813 2.0×	143	7.6k
Giuseppe Jurman Italy	28	2.3k 1.2×	626 0.9×	577 1.0×	1.7k 3.3×	546 1.3×	97	9.9k
Damien Ernst Belgium	28	2.5k 1.4×	2.4k 3.3×	520 0.9×	605 1.1×	425 1.0×	159	9.6k

Countries citing papers authored by Qiwei Ye

Since Specialization

Citations

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).

Fields of papers citing papers by Qiwei Ye

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Qiwei Ye

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Feng, Shikun, et al.. (2024). Pre-training with fractional denoising to enhance molecular property prediction. Nature Machine Intelligence. 6(10). 1169–1178. 13 indexed citations

2.

Ye, Qiwei, et al.. (2024). FEW: Multi-modal Recommendation for Cold-Start. 1–9.

3.

Ke, Guolin, James Lamb, Thomas Finley, et al.. (2021). Light Gradient Boosting Machine [R package lightgbm version 3.2.0]. 1 indexed citations

4.

Ye, Qiwei, et al.. (2021). Automatic Cardiomyopathy Diagnosis with a Cost-sensitive Ensemble Classifier. 775–779.

5.

Meng, Qi, Shuxin Zheng, Huishuai Zhang, et al.. (2018). G-SGD: Optimizing ReLU Neural Networks in its Positively Scale-Invariant Space.. International Conference on Learning Representations. 6 indexed citations

6.

Ke, Guolin, Qi Meng, Thomas Finley, et al.. (2017). LightGBM: A Highly Efficient Gradient Boosting Decision Tree. HAL (Le Centre pour la Communication Scientifique Directe). 6473 indexed citations breakdown →

7.

Meng, Qi, Guolin Ke, Wei Chen, et al.. (2016). A Communication-Efficient Parallel Algorithm for Decision Tree. arXiv (Cornell University). 29. 1271–1279. 52 indexed citations

8.

Zhang, Shuting, Ruowen Fu, Dingcai Wu, et al.. (2004). Preparation and characterization of antibacterial silver-dispersed activated carbon aerogels. Carbon. 42(15). 3209–3216. 136 indexed citations

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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