Kai Feng

791 total citations · 1 hit paper
10 papers, 434 citations indexed

About

Kai Feng is a scholar working on Automotive Engineering, Experimental and Cognitive Psychology and Building and Construction. According to data from OpenAlex, Kai Feng has authored 10 papers receiving a total of 434 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Automotive Engineering, 2 papers in Experimental and Cognitive Psychology and 2 papers in Building and Construction. Recurrent topics in Kai Feng's work include Traffic Prediction and Management Techniques (2 papers), Sleep and Work-Related Fatigue (2 papers) and Graphene research and applications (1 paper). Kai Feng is often cited by papers focused on Traffic Prediction and Management Techniques (2 papers), Sleep and Work-Related Fatigue (2 papers) and Graphene research and applications (1 paper). Kai Feng collaborates with scholars based in China, United States and Belgium. Kai Feng's co-authors include Weifeng Lü, Jingyuan Wang, Ke Tang, Jingyuan Wang, Ke Tang, Yong Chen, Shichao Yan, Heng Zhang, Cheng Shen and Wang Yao and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Sensors.

In The Last Decade

Kai Feng

7 papers receiving 420 citations

Hit Papers

High Temperature and High... 2020 2026 2022 2024 2020 100 200 300 400
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. High Temperature and High Humidity Reduce the Transmission of COVID-19
    2020 415 citations Jingyuan Wang, Ke Tang et al. SSRN Electronic Journal profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kai Feng China 3 322 192 170 95 60 10 434
Runye Shi China 3 293 0.9× 174 0.9× 176 1.0× 82 0.9× 64 1.1× 3 389
Weihao Zhu China 7 314 1.0× 200 1.0× 207 1.2× 64 0.7× 81 1.4× 10 478
Xiuxia Zhang China 6 314 1.0× 200 1.0× 233 1.4× 64 0.7× 75 1.3× 12 452
Huanchang Yan China 7 215 0.7× 139 0.7× 140 0.8× 103 1.1× 78 1.3× 13 408
Ana Iza Gomes da Penha Sobral Brazil 7 178 0.6× 96 0.5× 102 0.6× 78 0.8× 32 0.5× 11 309
Gisléia Benini Duarte Brazil 7 175 0.5× 114 0.6× 106 0.6× 73 0.8× 34 0.6× 15 361
André de Souza Melo Brazil 6 175 0.5× 110 0.6× 102 0.6× 70 0.7× 31 0.5× 23 294
Marietta M. Squire United States 4 424 1.3× 188 1.0× 81 0.5× 76 0.8× 28 0.5× 5 597

Countries citing papers authored by Kai Feng

Since Specialization
Citations

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

Fields of papers citing papers by Kai Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai Feng

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

All Works

10 of 10 papers shown
1.
Chen, Longfei, Bin Wang, Xiaoyuan Wang, et al.. (2025). An Identification Method for Road Hypnosis Based on XGBoost-HMM. Sensors. 25(6). 1842–1842.
2.
Huang, Meizhen, Xu Zhang, Zishu Zhou, et al.. (2025). Magnetic Bloch states at integer flux quanta induced by super-moiré potential in graphene aligned with twisted boron nitride. Nature Communications. 16(1). 1860–1860. 1 indexed citations
3.
4.
Chen, Longfei, Jingheng Wang, Xiaoyuan Wang, et al.. (2024). A road hypnosis identification method for drivers based on fusion of biological characteristics. SHILAP Revista de lepidopterología. 3(3). 144–154. 2 indexed citations
5.
6.
Fan, Wenjuan, Cong Chen, Kai Feng, et al.. (2024). Transcriptome analysis of the diseased intervertebral disc tissue in patients with spinal tuberculosis. BMC Medical Genomics. 17(1). 205–205. 1 indexed citations
7.
Feng, Kai, et al.. (2023). Toward Model Compression for a Deep Learning–Based Solar Flare Forecast on Satellites. The Astrophysical Journal Supplement Series. 268(2). 59–59. 1 indexed citations
8.
Weng, Jiancheng, et al.. (2023). Extreme gradient boosting algorithm based urban daily traffic index prediction model: a case study of Beijing, China. SHILAP Revista de lepidopterología. 2(3). 220–228. 2 indexed citations
9.
Wang, Jingyuan, Ke Tang, Kai Feng, & Weifeng Lü. (2020). High Temperature and High Humidity Reduce the Transmission of COVID-19. SSRN Electronic Journal. 415 indexed citations breakdown →
10.
Wang, Jingyuan, Ke Tang, Kai Feng, & Weifeng Lü. (2020). When is the COVID-19 Pandemic Over? Evidence from the Stay-at-home Policy Execution in 106 Chinese Cities. SSRN Electronic Journal. 11 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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2026