Shikun Feng

3.2k total citations · 2 hit papers
37 papers, 1.2k citations indexed

About

Shikun Feng is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Immunology. According to data from OpenAlex, Shikun Feng has authored 37 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 15 papers in Artificial Intelligence and 8 papers in Immunology. Recurrent topics in Shikun Feng's work include Topic Modeling (9 papers), Aquaculture disease management and microbiota (8 papers) and Multimodal Machine Learning Applications (7 papers). Shikun Feng is often cited by papers focused on Topic Modeling (9 papers), Aquaculture disease management and microbiota (8 papers) and Multimodal Machine Learning Applications (7 papers). Shikun Feng collaborates with scholars based in China, Singapore and Egypt. Shikun Feng's co-authors include Yu Sun, Haifeng Wang, Zhengjie Huang, Shuohuan Wang, Hao Tian, Hua Wu, Yukun Li, Yunsheng Shi, Hui Zhong and Wenjing Wang and has published in prestigious journals such as Journal of Hazardous Materials, Aquaculture and International Journal of Biological Macromolecules.

In The Last Decade

Shikun Feng

32 papers receiving 1.2k citations

Hit Papers

ERNIE 2.0: A Continual Pre-Training Framework for Languag... 2020 2026 2022 2024 2020 2021 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shikun Feng China 13 670 392 118 96 70 37 1.2k
Marion Neumann Germany 10 746 1.1× 293 0.7× 144 1.2× 133 1.4× 65 0.9× 18 1.1k
Tie‐Yan Liu China 21 1.0k 1.5× 450 1.1× 122 1.0× 81 0.8× 173 2.5× 62 1.4k
Hisashi Kashima Japan 12 563 0.8× 234 0.6× 108 0.9× 171 1.8× 92 1.3× 28 1.0k
Jialei Wang United States 18 789 1.2× 251 0.6× 152 1.3× 96 1.0× 58 0.8× 35 1.3k
Zhifeng Hao China 19 572 0.9× 209 0.5× 76 0.6× 62 0.6× 76 1.1× 60 861
Yuexin Wu China 14 797 1.2× 262 0.7× 225 1.9× 54 0.6× 44 0.6× 59 1.2k
Erik Nijkamp United States 10 416 0.6× 271 0.7× 263 2.2× 178 1.9× 67 1.0× 22 1.1k
Hui-Huang Hsu Taiwan 13 356 0.5× 279 0.7× 115 1.0× 111 1.2× 74 1.1× 81 874
Qing Cui China 12 492 0.7× 196 0.5× 144 1.2× 57 0.6× 38 0.5× 36 876

Countries citing papers authored by Shikun Feng

Since Specialization
Citations

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

Fields of papers citing papers by Shikun Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shikun Feng

This figure shows the co-authorship network connecting the top 25 collaborators of Shikun Feng. A scholar is included among the top collaborators of Shikun Feng 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 Shikun Feng. Shikun Feng 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.
Liu, Shasha, et al.. (2025). Effects of dietary Lactococcus lactis Z‐2 on growth, host health and resistance to Aeromonas hydrophila in juvenile common carp (Cyprinus carpio L.). Journal of the Science of Food and Agriculture. 105(7). 3911–3922. 1 indexed citations
2.
Yang, Guokun, Jia-Ning Gu, Ying Zhang, et al.. (2025). Effects of P-AKK on glucose and lipid metabolism and immunity of Micropterus salmoides induced by high starch diet. Aquaculture. 610. 742898–742898.
4.
Huang, Zhenyi, Yawei Wang, Shikun Feng, et al.. (2024). Effects of pasteurized Akkermansia muciniphila on lipid metabolism disorders induced by high-fat diet in zebrafish (Danio rerio). Aquaculture Reports. 38. 102363–102363. 3 indexed citations
5.
Wei, Zhewei, et al.. (2024). Spectral Heterogeneous Graph Convolutions via Positive Noncommutative Polynomials. 685–696. 3 indexed citations
6.
Liu, Zhikun, et al.. (2024). Antipsychotic drug-induced behavioral abnormalities in common carp: The potential involvement of the gut microbiota-brain axis. Journal of Hazardous Materials. 472. 134444–134444. 8 indexed citations
7.
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
8.
Yang, Guokun, Jia-Ning Gu, Hao Wang, et al.. (2024). Identification, Expression, Characteristic Analysis, and Immune Function of Two Akirin Genes in Grass Carp (Ctenopharyngodon idella). Animals. 14(16). 2443–2443. 1 indexed citations
9.
Zhang, Jinghui, Shikun Feng, Yu Sun, et al.. (2023). Label Information Enhanced Fraud Detection against Low Homophily in Graphs. arXiv (Cornell University). 406–416. 25 indexed citations
10.
Bian, Jiang, et al.. (2023). PGLBox: Multi-GPU Graph Learning Framework for Web-Scale Recommendation. 4262–4272. 4 indexed citations
11.
Peng, Qiming, Wenjin Wang, Bin Luo, et al.. (2022). ERNIE-Layout: Layout Knowledge Enhanced Pre-training for Visually-rich Document Understanding. 3744–3756. 33 indexed citations
12.
Huang, Jizhou, Zhengjie Huang, Xiaomin Fang, et al.. (2022). DuETA: Traffic Congestion Propagation Pattern Modeling via Efficient Graph Learning for ETA Prediction at Baidu Maps. Proceedings of the 31st ACM International Conference on Information & Knowledge Management. 3172–3181. 12 indexed citations
13.
Wang, Huijuan, Hui Zhong, Zhengjie Huang, et al.. (2022). Simple and Effective Relation-based Embedding Propagation for Knowledge Representation Learning. Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence. 2755–2761. 13 indexed citations
14.
Shi, Yunsheng, Zhengjie Huang, Shikun Feng, et al.. (2021). Masked Label Prediction: Unified Message Passing Model for Semi-Supervised Classification. 1548–1554. 337 indexed citations breakdown →
15.
Liu, Jiaxiang, Xuyi Chen, Shikun Feng, et al.. (2020). Kk2018 at SemEval-2020 Task 9: Adversarial Training for Code-Mixing Sentiment Classification. 817–823. 8 indexed citations
16.
Zhu, Yuhan, Zefeng Xu, Qi Luo, et al.. (2019). Synthesis and photoluminescence properties of Eu2+/Eu3+ or Ce3+/Eu3+ co-doped Sr5(BO3)3F compounds. Ceramics International. 46(1). 560–567. 13 indexed citations
17.
Zhu, Jianqing, Shikun Feng, Yi Dong, et al.. (2014). High-Performance Video Condensation System. IEEE Transactions on Circuits and Systems for Video Technology. 25(7). 1113–1124. 21 indexed citations
18.
Feng, Shikun, et al.. (2012). Online content-aware video condensation. 2082–2087. 46 indexed citations
19.
Feng, Shikun, Shengcai Liao, Zhiyong Yuan, & Stan Z. Li. (2010). Online Principal Background Selection for Video Synopsis. 12 indexed citations
20.
Feng, Shikun, et al.. (2009). ENDOSCOPIC IMAGE CUTTING SIMULATION BASED ON MASS-SPRING MODEL AND COMPUTATIONAL GEOMETRY. Journal of Circuits Systems and Computers. 18(8). 1453–1465. 2 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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