Kai-Chung Cheng

36 total papers · 914 total citations
30 papers, 692 citations indexed

About

Kai-Chung Cheng is a scholar working on Health, Toxicology and Mutagenesis, Speech and Hearing and Physiology. According to data from OpenAlex, Kai-Chung Cheng has authored 30 papers receiving a total of 692 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Health, Toxicology and Mutagenesis, 15 papers in Speech and Hearing and 11 papers in Physiology. Recurrent topics in Kai-Chung Cheng's work include Air Quality and Health Impacts (24 papers), Noise Effects and Management (15 papers) and Smoking Behavior and Cessation (11 papers). Kai-Chung Cheng is often cited by papers focused on Air Quality and Health Impacts (24 papers), Noise Effects and Management (15 papers) and Smoking Behavior and Cessation (11 papers). Kai-Chung Cheng collaborates with scholars based in United States, Taiwan and South Korea. Kai-Chung Cheng's co-authors include Lynn M. Hildemann, Wayne R. Ott, Viviana Acevedo-Bolton, Neil E. Klepeis, Ruo-Ting Jiang, James Repace, Jih‐Gau Juang, Lance Wallace, Hye‐Kyung Park and Kari C. Nadeau and has published in prestigious journals such as Environmental Science & Technology, The Science of The Total Environment and Atmospheric Environment.

In The Last Decade

Kai-Chung Cheng

30 papers receiving 674 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Kai-Chung Cheng	509	247	201	129	71	30	692
Fernando Meneses	584 1.1×	135 0.5×	205 1.0×	113 0.9×	36 0.5×	27	785
Marlene Cortez‐Lugo	614 1.2×	161 0.7×	133 0.7×	60 0.5×	35 0.5×	35	782
Su Shi	367 0.7×	113 0.5×	49 0.2×	16 0.1×	104 1.5×	34	583
Leonard Greenburg	320 0.6×	91 0.4×	51 0.3×	74 0.6×	16 0.2×	28	667
Ute Kraus	492 1.0×	123 0.5×	215 1.1×	53 0.4×	78 1.1×	28	683
Christina Norris	565 1.1×	265 1.1×	101 0.5×	62 0.5×	51 0.7×	21	662
John F. Bedi	456 0.9×	122 0.5×	32 0.2×	121 0.9×	42 0.6×	43	716
Daniela Nuvolone	498 1.0×	170 0.7×	52 0.3×	25 0.2×	27 0.4×	23	787
Josée Guénette	648 1.3×	136 0.6×	70 0.3×	62 0.5×	35 0.5×	22	762
Karoline K. Barkjohn	590 1.2×	407 1.6×	87 0.4×	54 0.4×	77 1.1×	20	711

Countries citing papers authored by Kai-Chung Cheng

Since Specialization

Citations

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

Fields of papers citing papers by Kai-Chung Cheng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai-Chung Cheng

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

All Works

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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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