Qiang Yang

101.6k total citations · 25 hit papers
860 papers, 62.9k citations indexed

About

Qiang Yang is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Qiang Yang has authored 860 papers receiving a total of 62.9k indexed citations (citations by other indexed papers that have themselves been cited), including 376 papers in Artificial Intelligence, 203 papers in Information Systems and 130 papers in Computer Vision and Pattern Recognition. Recurrent topics in Qiang Yang's work include Recommender Systems and Techniques (89 papers), Privacy-Preserving Technologies in Data (77 papers) and Text and Document Classification Technologies (65 papers). Qiang Yang is often cited by papers focused on Recommender Systems and Techniques (89 papers), Privacy-Preserving Technologies in Data (77 papers) and Text and Document Classification Technologies (65 papers). Qiang Yang collaborates with scholars based in Hong Kong, China and United States. Qiang Yang's co-authors include Sinno Jialin Pan, Yu Zhang, Tianjian Chen, Yang Liu, Yongxin Tong, Yong Yu, Gui-Rong Xue, Wenyuan Dai, Xindong Wu and Hao Zhang and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Angewandte Chemie International Edition.

In The Last Decade

Qiang Yang

811 papers receiving 60.4k citations

Hit Papers

A Survey on Transfer Lear... 2006 2026 2012 2019 2009 2007 2019 2006 2020 5.0k 10.0k 15.0k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Qiang Yang 32.1k 13.7k 11.1k 6.3k 6.2k 860 62.9k
Sepp Hochreiter 26.8k 0.8× 14.2k 1.0× 4.2k 0.4× 3.6k 0.6× 8.8k 1.4× 109 69.8k
Michael I. Jordan 48.1k 1.5× 19.3k 1.4× 11.6k 1.0× 8.4k 1.3× 3.8k 0.6× 556 96.0k
Andrew Y. Ng 39.6k 1.2× 21.0k 1.5× 8.4k 0.8× 3.0k 0.5× 2.4k 0.4× 208 68.8k
Ruslan Salakhutdinov 26.1k 0.8× 19.9k 1.5× 5.5k 0.5× 2.4k 0.4× 3.9k 0.6× 147 56.5k
Francisco Herrera 53.2k 1.7× 7.9k 0.6× 9.5k 0.9× 3.9k 0.6× 6.2k 1.0× 812 96.6k
Jürgen Schmidhuber 43.5k 1.4× 23.5k 1.7× 5.8k 0.5× 5.4k 0.9× 14.2k 2.3× 240 104.9k
Ilya Sutskever 41.1k 1.3× 36.1k 2.6× 4.9k 0.4× 3.6k 0.6× 7.8k 1.2× 39 95.2k
Philip S. Yu 43.0k 1.3× 12.5k 0.9× 22.9k 2.1× 14.8k 2.3× 2.8k 0.5× 1.6k 75.6k
Ian H. Witten 26.2k 0.8× 8.8k 0.6× 12.4k 1.1× 6.3k 1.0× 2.0k 0.3× 327 52.3k
Zhi‐Hua Zhou 22.7k 0.7× 13.3k 1.0× 4.9k 0.4× 3.1k 0.5× 2.1k 0.3× 399 38.5k

Countries citing papers authored by Qiang Yang

Since Specialization
Citations

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

Fields of papers citing papers by Qiang Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qiang Yang

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

All Works

20 of 20 papers shown
2.
Kang, Yan, et al.. (2025). No free lunch theorem for privacy-preserving LLM inference. Artificial Intelligence. 341. 104293–104293.
3.
Fan, Jing, Qiang Wang, Xiaoping Long, et al.. (2025). Mo isotope evidence for the significance of subducted continental crust in formation of post-collisional porphyry Cu deposits. Chemical Geology. 680. 122683–122683.
4.
Li, Shaoxuan, Yu Li, Haonan Liu, et al.. (2025). Pilot study on a physical process for treating petrochemical wastewater. Journal of Environmental Management. 379. 124891–124891. 3 indexed citations
5.
Yang, Qiang, Peixin Cui, Cun Liu, et al.. (2024). Core–shell CoN@Co ultra-stable nanoparticles on biochar for contamination remediation in water and soil. SHILAP Revista de lepidopterología. 3(1). 6 indexed citations
6.
Huang, Bowen, Wenbin Hu, Hui Xu, et al.. (2024). Enhanced catalytic degradation of tetracycline hydrochloride by a NZVI@MOF-545 composite with peroxydisulfate: Performance and mechanism. Applied Surface Science. 661. 160069–160069. 7 indexed citations
7.
Guo, Sifan, Zhibo Wang, Dandan Xie, et al.. (2024). Berberine Mediates Exosomes Regulating the Lipid Metabolism Pathways to Promote Apoptosis of RA-FLS Cells. Pharmaceuticals. 17(11). 1509–1509. 4 indexed citations
8.
Dong, Yunsheng, Jie Wang, Xinyi Yu, et al.. (2024). MSCs derived membrane coating nanoparticles targeted delivery itaconic acid to regulate M1 macrophage pyroptosis for osteoarthritis therapy. Applied Materials Today. 39. 102314–102314. 2 indexed citations
9.
Liu, Yang, et al.. (2024). A mechanism design approach for multi-party machine learning. Theoretical Computer Science. 1003. 114618–114618. 2 indexed citations
10.
Zhang, Xubin, Xiao‐Hong Xiong, Fumin Wang, et al.. (2024). CFD simulation of power characteristics and flow field distribution of different spiral stirring paddles. Chemical Engineering and Processing - Process Intensification. 205. 110033–110033.
11.
Kong, Yun, et al.. (2024). MOF-525 and Fe-loaded MOF-525 for the selective adsorption removal of Cu(Ⅱ) and Cr(VI). Journal of Solid State Chemistry. 339. 124927–124927. 7 indexed citations
12.
Yang, Qiang, Xubin Zhang, Fumin Wang, et al.. (2024). Numerical simulation of power and flow field characteristics of different spiral stirred reactors. Chinese Journal of Chemical Engineering. 78. 218–231.
13.
Wang, Shuai, et al.. (2024). Instability in heated water-porous system. European Journal of Mechanics - B/Fluids. 109. 428–439.
14.
Yang, Qiang, et al.. (2023). Selective leaching and recovery of neodymium from NdFeB carbonyl residues. Separation and Purification Technology. 329. 125137–125137. 22 indexed citations
15.
Kong, Yun, Hao Lu, Qiang Yang, et al.. (2023). Adsorption characteristics of tetracycline hydrochloride and oxytetracycline by a MOF-525(Co) metal organic framework. Colloids and Surfaces A Physicochemical and Engineering Aspects. 677. 132443–132443. 32 indexed citations
16.
Chan, Chee Seng, et al.. (2021). Protecting Intellectual Property of Generative Adversarial Networks from Ambiguity Attacks. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 3629–3638. 51 indexed citations
17.
Chen, Shaoqi, Dongyu Xue, Guohui Chuai, Qiang Yang, & Qi Liu. (2020). FL-QSAR: a federated learning-based QSAR prototype for collaborative drug discovery. Bioinformatics. 36(22-23). 5492–5498. 55 indexed citations
18.
Yang, Qiang, et al.. (2019). Development of sulconazole-loaded nanoemulsions for enhancement of transdermal permeation and antifungal activity. SHILAP Revista de lepidopterología. 2 indexed citations
19.
Xu, Zhiyue, et al.. (2017). Measurement and Evaluation of Carbon Emission for Different Types of Carbohydrate-rich Foods in China. SHILAP Revista de lepidopterología. 4 indexed citations
20.
Yin, Jie, Xiaoyong Chai, & Qiang Yang. (2004). High-level goal recognition in a wireless LAN. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 40 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026