W. K. Will

1.1k total citations
13 papers, 746 citations indexed

About

W. K. Will is a scholar working on Education, Sociology and Political Science and Information Systems and Management. According to data from OpenAlex, W. K. Will has authored 13 papers receiving a total of 746 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Education, 3 papers in Sociology and Political Science and 3 papers in Information Systems and Management. Recurrent topics in W. K. Will's work include Technology Adoption and User Behaviour (3 papers), Online and Blended Learning (3 papers) and Online Learning and Analytics (2 papers). W. K. Will is often cited by papers focused on Technology Adoption and User Behaviour (3 papers), Online and Blended Learning (3 papers) and Online Learning and Analytics (2 papers). W. K. Will collaborates with scholars based in China, Hong Kong and United States. W. K. Will's co-authors include Theodore H.K. Clark, Paul Jen‐Hwa Hu, Allan H. K. Yuen, Anthony Weldon, Liping Deng, Amy Wu, Lap–Kei Lee, Simon K. S. Cheung, Kar Yan Tam and Harrison Hao Yang and has published in prestigious journals such as Information & Management, Asia-Pacific Journal of Teacher Education and International Journal of Information Technology & Decision Making.

In The Last Decade

W. K. Will

11 papers receiving 644 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
W. K. Will China	4	406	338	208	176	160	13	746
Kung‐Teck Wong Malaysia	12	272 0.7×	414 1.2×	131 0.6×	112 0.6×	174 1.1×	39	713
Lynn Jeffrey New Zealand	11	186 0.5×	368 1.1×	170 0.8×	80 0.5×	261 1.6×	20	761
Yao-Kuei Lee Taiwan	4	406 1.0×	348 1.0×	237 1.1×	56 0.3×	121 0.8×	7	745
Ana María Duarte Hueros Spain	9	291 0.7×	245 0.7×	174 0.8×	42 0.2×	205 1.3×	35	637
Sun Joo Yoo United States	10	222 0.5×	238 0.7×	208 1.0×	46 0.3×	112 0.7×	16	626
Rocío Arteaga Sánchez Spain	8	402 1.0×	331 1.0×	400 1.9×	51 0.3×	197 1.2×	20	919
Charles Buabeng-Andoh Ghana	13	227 0.6×	601 1.8×	159 0.8×	210 1.2×	373 2.3×	28	1.0k
Seungbong Cha South Korea	2	354 0.9×	173 0.5×	270 1.3×	36 0.2×	249 1.6×	3	616
Mary Helen Fagan United States	11	342 0.8×	102 0.3×	245 1.2×	44 0.3×	119 0.7×	17	655
A.Y.M. Atiquil Islam China	15	173 0.4×	239 0.7×	115 0.6×	61 0.3×	136 0.8×	42	610

Countries citing papers authored by W. K. Will

Since Specialization

Citations

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

Fields of papers citing papers by W. K. Will

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by W. K. Will. 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 W. K. Will. The network helps show where W. K. Will may publish in the future.

Co-authorship network of co-authors of W. K. Will

This figure shows the co-authorship network connecting the top 25 collaborators of W. K. Will. A scholar is included among the top collaborators of W. K. Will 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 W. K. Will. W. K. Will 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:

13 of 13 papers shown

1.

Will, W. K. & Lap–Kei Lee. (2024). A Review on Information and Communications Technology in Higher Education: Learning Theories and Applications. 16. 397–401. 1 indexed citations

2.

Will, W. K., et al.. (2022). Applied Degree Education and the Future of Learning. 2 indexed citations

3.

Weldon, Anthony, et al.. (2021). Online learning during a global pandemic: Perceived benefits and issues in higher education. Knowledge Management & E-Learning An International Journal. 161–181. 34 indexed citations

4.

Will, W. K., et al.. (2019). Shaping the Future of Education, Communication and Technology. 3 indexed citations

5.

Will, W. K.. (2019). A Review of Deep Learning in the Last 3 Years. 39–51.

6.

Deng, Liping, et al.. (2018). New Media for Educational Change. 9 indexed citations

7.

Will, W. K., et al.. (2017). Do We Really Know What People are Using Their Smartphone for?. 34–38. 2 indexed citations

8.

Cheung, Simon K. S., et al.. (2017). Blended Learning. New Challenges and Innovative Practices: 10th International Conference, ICBL 2017, Hong Kong, China, June 27-29, 2017, Proceedings. 1 indexed citations

9.

Will, W. K. & Amy Wu. (2016). Internet Addiction: An Interpersonal Perspective. 3(1). 3 indexed citations

10.

Yuen, Allan H. K. & W. K. Will. (2008). Exploring teacher acceptance of e‐learning technology. Asia-Pacific Journal of Teacher Education. 36(3). 229–243. 273 indexed citations

11.

Hu, Paul Jen‐Hwa, et al.. (2005). Examining e-Learning Effectiveness, Outcomes and Learning Style: A Longitudinal Study.

12.

Hu, Paul Jen‐Hwa, Theodore H.K. Clark, & W. K. Will. (2003). Examining technology acceptance by school teachers: a longitudinal study. Information & Management. 41(2). 227–241. 417 indexed citations

13.

Lui, Siu Man, et al.. (2003). Acceptance of Internet Content Filters: An Empirical Study. International Journal of Information Technology & Decision Making. 2(3). 477–496. 1 indexed citations

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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