Wen-Bing Gau

1.7k total citations · 1 hit paper
10 papers, 1.2k citations indexed

About

Wen-Bing Gau is a scholar working on Education, Communication and Sociology and Political Science. According to data from OpenAlex, Wen-Bing Gau has authored 10 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Education, 3 papers in Communication and 3 papers in Sociology and Political Science. Recurrent topics in Wen-Bing Gau's work include Knowledge Management and Sharing (3 papers), Innovative Education and Learning Practices (3 papers) and Public Policy and Administration Research (2 papers). Wen-Bing Gau is often cited by papers focused on Knowledge Management and Sharing (3 papers), Innovative Education and Learning Practices (3 papers) and Public Policy and Administration Research (2 papers). Wen-Bing Gau collaborates with scholars based in Taiwan. Wen-Bing Gau's co-authors include Daniel J. Buehrer and has published in prestigious journals such as Quality & Quantity, SAGE Open and Educational Gerontology.

In The Last Decade

Wen-Bing Gau

10 papers receiving 1.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Vague sets

1993 1.2k citations Wen-Bing Gau, Daniel J. Buehrer IEEE Transactions on Systems Man and Cybernetics profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Wen-Bing Gau Taiwan	4	1.0k	413	329	327	315	10	1.2k
Daniel J. Buehrer Taiwan	7	1.0k 1.0×	419 1.0×	399 1.2×	328 1.0×	317 1.0×	25	1.3k
LeSheng Jin China	21	1.0k 1.0×	270 0.7×	290 0.9×	431 1.3×	378 1.2×	97	1.3k
Na Chen China	8	1.4k 1.4×	425 1.0×	383 1.2×	428 1.3×	519 1.6×	9	1.5k
Zhiping Xu China	5	1.2k 1.1×	297 0.7×	233 0.7×	445 1.4×	544 1.7×	8	1.3k
Bùi Công Cường Vietnam	12	1.0k 1.0×	332 0.8×	439 1.3×	259 0.8×	348 1.1×	36	1.4k
Hua Zhao China	16	1.1k 1.1×	279 0.7×	323 1.0×	397 1.2×	468 1.5×	40	1.2k
Wenyi Zeng China	19	1.4k 1.4×	503 1.2×	643 2.0×	724 2.2×	356 1.1×	65	1.7k
Peijia Ren China	15	1.1k 1.1×	392 0.9×	293 0.9×	280 0.9×	450 1.4×	33	1.3k
Montserrat Casanovas Spain	16	1.3k 1.3×	285 0.7×	235 0.7×	568 1.7×	671 2.1×	49	1.5k
Bahram Farhadinia Iran	18	1.1k 1.0×	447 1.1×	380 1.2×	314 1.0×	311 1.0×	48	1.2k

Countries citing papers authored by Wen-Bing Gau

Since Specialization

Citations

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

Fields of papers citing papers by Wen-Bing Gau

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wen-Bing Gau. 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-Bing Gau. The network helps show where Wen-Bing Gau may publish in the future.

Co-authorship network of co-authors of Wen-Bing Gau

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

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Gau, Wen-Bing. (2022). Forming a Learning Environment Within a Senior-Citizen Community of Practice. SAGE Open. 12(3). 1 indexed citations

2.

Gau, Wen-Bing. (2019). A Reflection on Marketing 4.0 From the Perspective of Senior Citizens’ Communities of Practice. SAGE Open. 9(3). 10 indexed citations

3.

Gau, Wen-Bing. (2016). How to Construct Shared Repertoire in Older Adults’ Communities of Practice. Journal of Adult Development. 23(3). 129–139. 2 indexed citations

4.

Gau, Wen-Bing. (2014). A Study on Mutual Engagement in Communities of Practice. Procedia - Social and Behavioral Sciences. 116. 448–452. 2 indexed citations

5.

Gau, Wen-Bing. (2013). Analysis of Behavior in Forming a Joint Enterprise in Senior Citizens’ Communities of Practice. Journal of Adult Development. 20(3). 142–150. 2 indexed citations

6.

Gau, Wen-Bing, et al.. (2011). Insurance Agencies' Organizational Learning in a Turbulent Time: A Community of Practice Perspective.. SSRN Electronic Journal. 1(1). 41–49. 2 indexed citations

7.

Gau, Wen-Bing. (2011). Public servants’ workplace learning: a reflection on the concept of communities of practice. Quality & Quantity. 47(3). 1519–1530. 6 indexed citations

8.

Gau, Wen-Bing. (2011). Communities of Practice for Senior Volunteers: A Mutual Engagement Perspective. Educational Gerontology. 37(11). 1009–1026. 4 indexed citations

9.

Gau, Wen-Bing, et al.. (2009). A Study on Public Servants' Learning and Behavior Change-A Social Interaction Perspective. 1–32. 1 indexed citations

10.

Gau, Wen-Bing & Daniel J. Buehrer. (1993). Vague sets. IEEE Transactions on Systems Man and Cybernetics. 23(2). 610–614. 1179 indexed citations breakdown →

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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