Kang Cheng

11 papers and 442 indexed citations i.

About

Kang Cheng is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Kang Cheng has authored 11 papers receiving a total of 442 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Electrical and Electronic Engineering, 3 papers in Computer Networks and Communications and 2 papers in Artificial Intelligence. Recurrent topics in Kang Cheng’s work include IoT Networks and Protocols (2 papers), Reinforcement Learning in Robotics (2 papers) and IoT and Edge/Fog Computing (2 papers). Kang Cheng is often cited by papers focused on IoT Networks and Protocols (2 papers), Reinforcement Learning in Robotics (2 papers) and IoT and Edge/Fog Computing (2 papers). Kang Cheng collaborates with scholars based in China, United States and Japan. Kang Cheng's co-authors include Keiji Tanaka, R. Allen Waggoner, Xianbin Wang, Yinglei Teng, An Liu, Xing Li, Yan Chen, Kai Bu, Jianfeng Yang and Xin Xiao and has published in prestigious journals such as Neuron, IEEE Communications Surveys & Tutorials and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Kang Cheng i

Fields of papers citing papers by Kang Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kang Cheng

Since Specialization
Citations

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

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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