Qinbin Li

11.8k citations
59 papers · 7.3k indexed · 3 hit papers · h-index 35

Impact in

Papers in

Qinbin Li

57 papers receiving 7.1k citations

Hit Papers

Federated Learning on Non-IID Data Silos: An Experimental Study 2022 · 557 citations
557200120262009201750010001.5k

Peers

Qinbin Li
Comparison fields: 5 of 152
  • Atmospheric Science 5.0k
  • Global and Planetary Change 3.9k
  • Health, Toxicology and Mutagenesis 1.5k
  • Artificial Intelligence 1.5k
  • Environmental Engineering 580
Replace Stephen Dorling with:
Stephen Dorling United Kingdom
Xiaomeng Huang China
Xiaoyan Jiang China
Yong Xue China
Yi Deng United States
Amy McGovern United States
Wei Gong China
Yubao Liu China
Guido Cervone United States
Shih Yu Chang Taiwan
Qinbin Li relative to Stephen Dorling United Kingdom Stephen Dorling's profile →
Citations per field
00.5×4.1×
Stephen Dorling · 1×
Citations per year

Countries citing papers authored by Qinbin Li

Since Specialization
Citations

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

Fields of papers citing papers by Qinbin Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Qinbin Li, 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 Qinbin Li Line = papers co-authored together Qinbin Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20247
2 20241
3 20241
4 20244
5 20241
6 20249
7 20236
8 20231
9
Model-Contrastive Federated Learning
Hit paper breakdown →
2021747
10 2020119
11
Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection
201945
12
ThunderSVM: A Fast SVM Library on GPUs and CPUs
2018118
13 20153
14 200810
15 200816
16 2005199
17 2002314
18 2002232
19 2001293
20 2001106

About Qinbin Li

Qinbin Li is a scholar working on Atmospheric Science, Global and Planetary Change, Health Informatics, Artificial Intelligence and Computer Science Applications, having authored 59 papers that have together received 7.3k indexed citations. Recurring topics across this work include Atmospheric chemistry and aerosols (32 papers), Atmospheric Ozone and Climate (25 papers), Atmospheric and Environmental Gas Dynamics (20 papers), Privacy-Preserving Technologies in Data (15 papers), Atmospheric aerosols and clouds (12 papers), Cryptography and Data Security (5 papers), Stochastic Gradient Optimization Techniques (5 papers) and Air Quality and Health Impacts (4 papers). The work is most often cited by research in Atmospheric Science (5.0k citations), Global and Planetary Change (3.9k citations), Health, Toxicology and Mutagenesis (1.5k citations), Artificial Intelligence (1.5k citations) and Environmental Engineering (580 citations). Qinbin Li has collaborated with scholars based in United States, Singapore and China. Frequent co-authors include Bingsheng He, Daniel J. Jacob, Robert M. Yantosca, I. Bey, Arlene M. Fiore, Jennifer A. Logan, Brendan D. Field, Dawn Song, Martin G. Schultz and Loretta J. Mickley. Their work appears in journals such as Journal of Geophysical Research Atmospheres, Geophysical Research Letters, Global Biogeochemical Cycles, Remote Sensing of Environment and Proceedings of the VLDB Endowment.

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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