Chien‐Fu Cheng

93 total papers · 909 total citations
72 papers, 714 citations indexed

About

Chien‐Fu Cheng is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Information Systems. According to data from OpenAlex, Chien‐Fu Cheng has authored 72 papers receiving a total of 714 indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Computer Networks and Communications, 36 papers in Electrical and Electronic Engineering and 7 papers in Information Systems. Recurrent topics in Chien‐Fu Cheng's work include Energy Efficient Wireless Sensor Networks (24 papers), Distributed systems and fault tolerance (18 papers) and Semiconductor materials and devices (14 papers). Chien‐Fu Cheng is often cited by papers focused on Energy Efficient Wireless Sensor Networks (24 papers), Distributed systems and fault tolerance (18 papers) and Semiconductor materials and devices (14 papers). Chien‐Fu Cheng collaborates with scholars based in Taiwan, Canada and Singapore. Chien‐Fu Cheng's co-authors include Albert Chin, Jerry Chun‐Wei Lin, S. P. McAlister, Decai Yu, K.C. Chiang, Won Jong Yoo, Gautam Srivastava, Chyong‐Huey Lai, M.F. Li and W.J. Chen and has published in prestigious journals such as Journal of The Electrochemical Society, IEEE Access and IEEE Transactions on Vehicular Technology.

In The Last Decade

Chien‐Fu Cheng

70 papers receiving 687 citations

Author Peers

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

Author						Papers	Cites
Chien‐Fu Cheng	428	401	73	70	60	72	714
Brian Kelley	287 0.7×	274 0.7×	157 2.2×	54 0.8×	72 1.2×	60	805
Ahmed Salim	421 1.0×	615 1.5×	37 0.5×	35 0.5×	74 1.2×	50	812
Seokhoon Yoon	286 0.7×	454 1.1×	25 0.3×	216 3.1×	65 1.1×	73	813
Mohamed R. M. Rizk	451 1.1×	319 0.8×	57 0.8×	38 0.5×	127 2.1×	131	859
Muhammad Mahboob Ur Rahman	499 1.2×	276 0.7×	28 0.4×	75 1.1×	51 0.8×	58	724
Jiaxing Wang	296 0.7×	254 0.6×	39 0.5×	18 0.3×	88 1.5×	56	672
Ting Wang	204 0.5×	366 0.9×	27 0.4×	23 0.3×	118 2.0×	76	799
Kai Chen	278 0.6×	64 0.2×	28 0.4×	32 0.5×	106 1.8×	104	680
Zhiliang Qiu	374 0.9×	354 0.9×	25 0.3×	41 0.6×	26 0.4×	72	652
José Augusto M. Nacif	315 0.7×	205 0.5×	56 0.8×	67 1.0×	95 1.6×	131	690

Countries citing papers authored by Chien‐Fu Cheng

Since Specialization

Citations

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

Fields of papers citing papers by Chien‐Fu Cheng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chien‐Fu Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Chien‐Fu Cheng. A scholar is included among the top collaborators of Chien‐Fu 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 Chien‐Fu Cheng. Chien‐Fu 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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