Pu Sun

1.9k total citations · 1 hit paper
29 papers, 1.1k citations indexed

About

Pu Sun is a scholar working on Biomedical Engineering, Mechanical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Pu Sun has authored 29 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Biomedical Engineering, 11 papers in Mechanical Engineering and 10 papers in Computer Vision and Pattern Recognition. Recurrent topics in Pu Sun's work include Metal Extraction and Bioleaching (11 papers), Extraction and Separation Processes (10 papers) and Minerals Flotation and Separation Techniques (9 papers). Pu Sun is often cited by papers focused on Metal Extraction and Bioleaching (11 papers), Extraction and Separation Processes (10 papers) and Minerals Flotation and Separation Techniques (9 papers). Pu Sun collaborates with scholars based in China, United States and Germany. Pu Sun's co-authors include Honggang Qi, Yuezun Li, Siwei Lyu, Xin Yang, Xin Yang, Neil S. Hodnett, Kenneth M. Wells, Zhigan Deng, Minting Li and Chang Wei and has published in prestigious journals such as Journal of Hazardous Materials, Frontiers in Psychology and Separation and Purification Technology.

In The Last Decade

Pu Sun

17 papers receiving 1.1k citations

Hit Papers

Celeb-DF: A Large-Scale Challenging Dataset for DeepFake ... 2020 2026 2022 2024 2020 250 500 750
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.

  1. Celeb-DF: A Large-Scale Challenging Dataset for DeepFake Forensics
    2020 899 citations Yuezun Li, Xin Yang et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pu Sun China 9 942 349 102 58 32 29 1.1k
Ji Zhang China 11 454 0.5× 214 0.6× 22 0.2× 22 0.4× 11 0.3× 44 686
Junliang Guo China 12 175 0.2× 292 0.8× 16 0.2× 9 0.2× 12 0.4× 37 448
Harish Karnick India 10 136 0.1× 167 0.5× 75 0.7× 18 0.3× 11 0.3× 27 344
Bhargava Urala Kota United States 9 212 0.2× 100 0.3× 75 0.7× 8 0.1× 24 0.8× 11 344
Longlong Li China 10 176 0.2× 106 0.3× 27 0.3× 13 0.2× 11 0.3× 43 324
Yifei Zhang China 10 123 0.1× 235 0.7× 20 0.2× 13 0.2× 5 0.2× 32 420
Ashok Sharma India 9 128 0.1× 145 0.4× 30 0.3× 10 0.2× 14 0.4× 54 358
Luyu Gao United States 9 159 0.2× 412 1.2× 17 0.2× 53 0.9× 3 0.1× 14 567
Haw-Shiuan Chang United States 8 174 0.2× 166 0.5× 6 0.1× 18 0.3× 7 0.2× 21 430
Ledya Novamizanti Indonesia 10 209 0.2× 94 0.3× 31 0.3× 36 0.6× 2 0.1× 108 426

Countries citing papers authored by Pu Sun

Since Specialization
Citations

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

Fields of papers citing papers by Pu Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pu Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Pu Sun. A scholar is included among the top collaborators of Pu Sun 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 Pu Sun. Pu Sun 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
1.
Sun, Pu, et al.. (2025). Leaching Kinetics and Mechanisms of Pyrite in an H2SO4–Fe2(SO4)3 System Under Oxygen Pressure. Journal of Sustainable Metallurgy. 11(3). 3144–3155.
2.
3.
Sun, Pu, Lifang Wang, & Ling Yan. (2025). Mediation of coping style between academic self-efficacy and academic stress in middle school students. Frontiers in Psychology. 16. 1496528–1496528.
4.
Sun, Pu, et al.. (2025). Oxygen-Pressure Leaching Kinetics of Sphalerite in the H2SO4-Fe2(SO4)3 System. JOM. 77(3). 1650–1658.
5.
Li, Minting, Xiaohua Peng, Chang Wei, et al.. (2024). Selective extraction of germanium from iron-bearing ammonia leaching residue via low-temperature molten NaOH leaching. Separation and Purification Technology. 353. 128590–128590. 5 indexed citations
6.
Sun, Pu, Honggang Qi, Yuezun Li, & Siwei Lyu. (2024). FakeTracer: Catching Face-Swap DeepFakes via Implanting Traces in Training. IEEE Transactions on Emerging Topics in Computing. 13(1). 134–146.
7.
Wang, Xixi, Jiahui Li, Pu Sun, et al.. (2024). Removing fluorine and chlorine from zinc oxide dust by wet alkaline washing and studying fluorine occurrence states. International Journal of Chemical Reactor Engineering. 22(12). 1459–1467.
8.
Sun, Pu, Ji‐Bo Wang, Chang Wei, et al.. (2024). Copper leaching behaviour during oxygen pressure leaching of zinc sulfide concentrate. Canadian Metallurgical Quarterly. 64(3). 1521–1531.
9.
Li, Minting, Chang Wei, Zhigan Deng, et al.. (2024). Selective separation of zinc from germanium-bearing iron cake via a roasting–leaching process. Separation and Purification Technology. 337. 126166–126166. 5 indexed citations
10.
Sun, Pu, et al.. (2024). Phase conversion characteristics of lead sulfate in ferric sulfate medium. Journal of Hazardous Materials. 482. 136577–136577.
11.
Sun, Pu, et al.. (2024). Mineralogical and leaching characteristics of sulfur concentrate and hot filter residue from zinc–oxygen-pressure leaching. Geochemistry. 85(1). 126198–126198. 3 indexed citations
12.
13.
Sun, Pu, et al.. (2024). An efficient detector for detecting surface defects on cold-rolled steel strips. Engineering Applications of Artificial Intelligence. 138. 109325–109325. 9 indexed citations
14.
Sun, Pu, Yuezun Li, Honggang Qi, & Siwei Lyu. (2022). LandmarkGAN: Synthesizing faces from landmarks. Pattern Recognition Letters. 161. 90–98. 11 indexed citations
15.
Li, Yuezun, Ming‐Ching Chang, Pu Sun, et al.. (2021). TransRPN: Towards the Transferable Adversarial Perturbations using Region Proposal Networks and Beyond. Computer Vision and Image Understanding. 213. 103302–103302. 5 indexed citations
16.
Deng, Zhigan, Chang Wei, Yuan Yang, et al.. (2021). Adaptive process for improving leaching efficiency of germanium from secondary zinc oxide. International Journal of Chemical Reactor Engineering. 19(6). 615–623. 15 indexed citations
17.
Li, Yuezun, Xin Yang, Pu Sun, Honggang Qi, & Siwei Lyu. (2020). Celeb-DF: A Large-Scale Challenging Dataset for DeepFake Forensics. 3204–3213. 899 indexed citations breakdown →
18.
Li, Yuezun, Xin Yang, Pu Sun, Honggang Qi, & Siwei Lyu. (2019). Celeb-DF: A New Dataset for DeepFake Forensics. arXiv (Cornell University). 59 indexed citations
19.
Hodnett, Neil S., et al.. (2017). High-Throughput Automated Design of Experiment (DoE) and Kinetic Modeling to Aid in Process Development of an API. Organic Process Research & Development. 22(1). 54–61. 43 indexed citations
20.
Sun, Pu, et al.. (2016). Research on knowledge push method for 3D process design. 38(9). 105.

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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