Chien‐Erh Weng

56 total papers · 728 total citations
36 papers, 472 citations indexed

About

Chien‐Erh Weng is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Chien‐Erh Weng has authored 36 papers receiving a total of 472 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computer Networks and Communications, 20 papers in Electrical and Electronic Engineering and 4 papers in Artificial Intelligence. Recurrent topics in Chien‐Erh Weng's work include Mobile Ad Hoc Networks (14 papers), Wireless Networks and Protocols (11 papers) and Advanced Wireless Network Optimization (7 papers). Chien‐Erh Weng is often cited by papers focused on Mobile Ad Hoc Networks (14 papers), Wireless Networks and Protocols (11 papers) and Advanced Wireless Network Optimization (7 papers). Chien‐Erh Weng collaborates with scholars based in Taiwan, Indonesia and Norway. Chien‐Erh Weng's co-authors include Hsing‐Chung Chen, Jerry Chun‐Wei Lin, Mosiur Rahaman, Liukui Chen, Thi-Dieu-Hien Vo, Chung‐Shin Yuan, Chitsan Lin, Xuan‐Thanh Bui, Jyh‐Horng Wen and Karisma Trinanda Putra and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Journal of Environmental Management.

In The Last Decade

Chien‐Erh Weng

34 papers receiving 455 citations

Hit Papers

AlexNet Convolutional Neu... 2022 2026 2023 2024 2022 40 80 120

Author Peers

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

Author Last Decade Papers Cites
Chien‐Erh Weng 131 112 106 70 61 36 472
Sibghat Ullah Bazai 53 0.4× 37 0.3× 29 0.3× 47 0.7× 86 1.4× 41 426
Mare Srbinovska 149 1.1× 157 1.4× 180 1.7× 61 0.9× 16 0.3× 17 465
K. Karthick 20 0.2× 143 1.3× 56 0.5× 63 0.9× 91 1.5× 49 488
Khadija Douzi 183 1.4× 38 0.3× 35 0.3× 101 1.4× 162 2.7× 29 484
Yanli Feng 23 0.2× 58 0.5× 88 0.8× 58 0.8× 54 0.9× 43 447
Salman Naseer 65 0.5× 152 1.4× 93 0.9× 14 0.2× 29 0.5× 29 449
K. Somasundaram 147 1.1× 59 0.5× 22 0.2× 92 1.3× 104 1.7× 55 489
L. K. BURTON 52 0.4× 77 0.7× 160 1.5× 6 0.1× 27 0.4× 15 501
Chris Roadknight 169 1.3× 40 0.4× 80 0.8× 38 0.5× 111 1.8× 38 526
Imran A. Tasadduq 53 0.4× 179 1.6× 26 0.2× 7 0.1× 79 1.3× 40 434

Countries citing papers authored by Chien‐Erh Weng

Since Specialization
Citations

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

Fields of papers citing papers by Chien‐Erh Weng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chien‐Erh Weng

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