Wen‐Hua Ju

10 total papers · 1.3k total citations
8 papers, 879 citations indexed

About

Wen‐Hua Ju is a scholar working on Computer Networks and Communications, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Wen‐Hua Ju has authored 8 papers receiving a total of 879 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Networks and Communications, 5 papers in Artificial Intelligence and 3 papers in Electrical and Electronic Engineering. Recurrent topics in Wen‐Hua Ju's work include Indoor and Outdoor Localization Technologies (3 papers), Distributed Sensor Networks and Detection Algorithms (2 papers) and Target Tracking and Data Fusion in Sensor Networks (2 papers). Wen‐Hua Ju is often cited by papers focused on Indoor and Outdoor Localization Technologies (3 papers), Distributed Sensor Networks and Detection Algorithms (2 papers) and Target Tracking and Data Fusion in Sensor Networks (2 papers). Wen‐Hua Ju collaborates with scholars based in United States, Bermuda and Japan. Wen‐Hua Ju's co-authors include A. S. Krishnakumar, P. Krishnan, Yehuda Vardi, Colin L. Mallows, David Madigan, Richard P. Martin, William DuMouchel, Alan F. Karr, Matthias Schonlau and Lorraine Denby and has published in prestigious journals such as IEEE Access, Statistical Science and Journal of Computational and Graphical Statistics.

In The Last Decade

Wen‐Hua Ju

8 papers receiving 815 citations

Author Peers

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

Author						Papers	Cites
Wen‐Hua Ju	523	475	324	291	250	8	879
Xiaoyong Chai	426 0.8×	285 0.6×	264 0.8×	196 0.7×	299 1.2×	20	862
Eiman Elnahrawy	529 1.0×	459 1.0×	125 0.4×	260 0.9×	153 0.6×	15	770
Yatin Chawathe	457 0.9×	637 1.3×	102 0.3×	106 0.4×	142 0.6×	7	898
Yilin Zhao	574 1.1×	309 0.7×	204 0.6×	122 0.4×	155 0.6×	12	915
Guidong Zhang	731 1.4×	265 0.6×	306 0.9×	94 0.3×	95 0.4×	11	940
Anshul Rai	792 1.5×	215 0.5×	242 0.7×	397 1.4×	73 0.3×	4	926
Erich P. Stuntebeck	606 1.2×	477 1.0×	66 0.2×	244 0.8×	85 0.3×	11	897
Kannan Govindan	389 0.7×	536 1.1×	46 0.1×	62 0.2×	193 0.8×	22	818
Caifeng Zou	183 0.3×	530 1.1×	145 0.4×	96 0.3×	161 0.6×	13	864
A. Smailagic	245 0.5×	480 1.0×	66 0.2×	83 0.3×	120 0.5×	7	778

Countries citing papers authored by Wen‐Hua Ju

Since Specialization

Citations

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

Fields of papers citing papers by Wen‐Hua Ju

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wen‐Hua Ju. 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 Wen‐Hua Ju. The network helps show where Wen‐Hua Ju may publish in the future.

Co-authorship network of co-authors of Wen‐Hua Ju

This figure shows the co-authorship network connecting the top 25 collaborators of Wen‐Hua Ju. A scholar is included among the top collaborators of Wen‐Hua Ju 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 Wen‐Hua Ju. Wen‐Hua Ju 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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