Kai Feng

791 citations
10 papers · 434 indexed · 1 hit paper · h-index 3
Topics
Traffic Prediction and Management Techniques (2 papers)Sleep and Work-Related Fatigue (2 papers)Graphene research and applications (1 paper)
Journals
Nature CommunicationsSHILAP Revista de lepidopterologíaSensors

In The Last Decade

Kai Feng

7 papers receiving 420 citations

Hit Papers

High Temperature and High Humidity Reduce the Transmissio...20202026202220242020100200300400

Peers

Kai Feng
Comparison fields: 5 of 80
  • Modeling and Simulation 322
  • Economics and Econometrics 192
  • Global and Planetary Change 170
  • Infectious Diseases 95
  • Health, Toxicology and Mutagenesis 60
Replace Runye Shi with:
Runye Shi China
Weihao Zhu China
Xiuxia Zhang China
Huanchang Yan China
Gisléia Benini Duarte Brazil
Ana Iza Gomes da Penha Sobral Brazil
André de Souza Melo Brazil
Marietta M. Squire United States
Canelle Poirier United States
Kai Feng relative to Runye Shi China Runye Shi's profile →
Citations per field
00.5×
Runye Shi · 1×
Citations per year

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
#WorkIndexed citations
1 1
2 0
3 0
4 2
5 1
6 1
7 1
8 2
9
High Temperature and High Humidity Reduce the Transmission of COVID-19breakdown →
415
10 11

About Kai Feng

Kai Feng is a scholar working on Modeling and Simulation, Automotive Engineering and Experimental and Cognitive Psychology, having authored 10 papers that have together received 434 indexed citations. Recurring topics across this work include Traffic Prediction and Management Techniques (2 papers), Sleep and Work-Related Fatigue (2 papers) and Graphene research and applications (1 paper). The work is most often cited by research in Modeling and Simulation (322 citations), Global and Planetary Change (170 citations) and Economics and Econometrics (192 citations). Kai Feng has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Weifeng Lü, Jingyuan Wang, Ke Tang, Jingyuan Wang, Ke Tang, Xu Zhang, Zhao Dong, Jingheng Wang, Xiaoyuan Wang and Junyan Han. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and Sensors.

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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