Cong Xie

42 total papers · 1.3k total citations
18 papers, 315 citations indexed

About

Cong Xie is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Cong Xie has authored 18 papers receiving a total of 315 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 4 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Cong Xie's work include Stochastic Gradient Optimization Techniques (5 papers), Privacy-Preserving Technologies in Data (4 papers) and Advanced Photocatalysis Techniques (3 papers). Cong Xie is often cited by papers focused on Stochastic Gradient Optimization Techniques (5 papers), Privacy-Preserving Technologies in Data (4 papers) and Advanced Photocatalysis Techniques (3 papers). Cong Xie collaborates with scholars based in China, United States and Australia. Cong Xie's co-authors include Ping Yang, Xiao Zhang, Tong Song, Indranil Gupta, Oluwasanmi Koyejo, Yingjie Liu, Yubin Zhao, Yuxiang Song, Yaya Wang and Guang Zhu and has published in prestigious journals such as Carbon, Electrochimica Acta and International Journal of Hydrogen Energy.

In The Last Decade

Cong Xie

16 papers receiving 309 citations

Author Peers

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

Author Last Decade Papers Cites
Cong Xie 155 134 89 77 57 18 315
Xiaoyi Zhu 71 0.5× 158 1.2× 161 1.8× 85 1.1× 85 1.5× 24 333
Ziwei Chai 102 0.7× 107 0.8× 51 0.6× 68 0.9× 7 0.1× 22 291
Muhammad Kashif 20 0.1× 110 0.8× 91 1.0× 69 0.9× 12 0.2× 24 343
Yinglan Wang 70 0.5× 39 0.3× 54 0.6× 43 0.6× 80 1.4× 26 363
Yang Zhang 76 0.5× 166 1.2× 39 0.4× 13 0.2× 23 0.4× 12 297
Yinpeng Wang 44 0.3× 41 0.3× 60 0.7× 22 0.3× 7 0.1× 27 286
Takahiro Miyazaki 36 0.2× 48 0.4× 173 1.9× 33 0.4× 7 0.1× 25 338
Rongrong Ma 115 0.7× 207 1.5× 63 0.7× 43 0.6× 1 0.0× 25 343
Ziao Liu 62 0.4× 42 0.3× 59 0.7× 21 0.3× 4 0.1× 29 353
Claire E. Dickerson 97 0.6× 57 0.4× 30 0.3× 38 0.5× 3 0.1× 17 312

Countries citing papers authored by Cong Xie

Since Specialization
Citations

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

Fields of papers citing papers by Cong Xie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cong Xie

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

All Works

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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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2026