Ding-Long Huang

771 total citations
8 papers, 266 citations indexed

About

Ding-Long Huang is a scholar working on Information Systems and Management, Social Psychology and Sociology and Political Science. According to data from OpenAlex, Ding-Long Huang has authored 8 papers receiving a total of 266 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Information Systems and Management, 3 papers in Social Psychology and 3 papers in Sociology and Political Science. Recurrent topics in Ding-Long Huang's work include Technology Adoption and User Behaviour (3 papers), Personal Information Management and User Behavior (2 papers) and Privacy, Security, and Data Protection (2 papers). Ding-Long Huang is often cited by papers focused on Technology Adoption and User Behaviour (3 papers), Personal Information Management and User Behavior (2 papers) and Privacy, Security, and Data Protection (2 papers). Ding-Long Huang collaborates with scholars based in China, United States and Canada. Ding-Long Huang's co-authors include Pei‐Luen Patrick Rau, Gavriel Salvendy, Ying Liu, Fei Gao, Jia Zhou, Lijian Yang, Simin Huang, Hui Su, Chen Zhao and Nan Tu and has published in prestigious journals such as Applied Sciences, International Journal of Human-Computer Studies and Behaviour and Information Technology.

In The Last Decade

Ding-Long Huang

8 papers receiving 242 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ding-Long Huang China	6	109	103	63	60	34	8	266
Balakrishnan Muniandy Malaysia	10	64 0.6×	152 1.5×	46 0.7×	67 1.1×	22 0.6×	36	421
Irina Ceaparu United States	7	74 0.7×	74 0.7×	30 0.5×	89 1.5×	74 2.2×	9	306
Kristiina Karvonen Finland	7	121 1.1×	35 0.3×	59 0.9×	72 1.2×	76 2.2×	12	256
Shan-Ju L. Chang Taiwan	7	80 0.7×	159 1.5×	38 0.6×	82 1.4×	33 1.0×	13	346
Thierry Nabeth France	9	96 0.9×	50 0.5×	34 0.5×	54 0.9×	22 0.6×	21	320
Stephen Hinde United Kingdom	10	73 0.7×	126 1.2×	22 0.3×	28 0.5×	19 0.6×	47	258
Brian Houck United States	5	46 0.4×	85 0.8×	41 0.7×	26 0.4×	23 0.7×	13	227
Michael Khoo United States	10	49 0.4×	135 1.3×	17 0.3×	30 0.5×	19 0.6×	37	303
Lynne Dunckley United Kingdom	9	81 0.7×	95 0.9×	27 0.4×	66 1.1×	125 3.7×	26	271

Countries citing papers authored by Ding-Long Huang

Since Specialization

Citations

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

Fields of papers citing papers by Ding-Long Huang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ding-Long Huang. 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 Ding-Long Huang. The network helps show where Ding-Long Huang may publish in the future.

Co-authorship network of co-authors of Ding-Long Huang

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

All Works

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8 of 8 papers shown

Yang, Lijian, et al.. (2020). Predictive modeling of consumer color preference: Using retail data and merchandise images. Journal of Forecasting. 39(8). 1305–1323. 11 indexed citations

Rau, Pei‐Luen Patrick, et al.. (2020). Who Should Provide Clothing Recommendation Services. Journal of Information Technology Research. 13(3). 113–125. 8 indexed citations

Rau, Pei‐Luen Patrick, et al.. (2019). Self-Disclosure to an IoT Conversational Agent: Effects of Space and User Context on Users’ Willingness to Self-Disclose Personal Information. Applied Sciences. 9(9). 1887–1887. 11 indexed citations

Huang, Ding-Long, Pei‐Luen Patrick Rau, Gavriel Salvendy, Fei Gao, & Jia Zhou. (2011). Factors affecting perception of information security and their impacts on IT adoption and security practices. International Journal of Human-Computer Studies. 69(12). 870–883. 100 indexed citations

Huang, Ding-Long, Pei‐Luen Patrick Rau, Hui Su, Nan Tu, & Chen Zhao. (2010). Effects of communication style and time orientation on notification systems and anti-virus software. Behaviour and Information Technology. 29(5). 483–495. 3 indexed citations

Huang, Ding-Long, Pei‐Luen Patrick Rau, & Gavriel Salvendy. (2008). Perception of information security. Behaviour and Information Technology. 29(3). 221–232. 69 indexed citations

Huang, Ding-Long, Pei‐Luen Patrick Rau, & Ying Liu. (2008). Effects of font size, display resolution and task type on reading Chinese fonts from mobile devices. International Journal of Industrial Ergonomics. 39(1). 81–89. 63 indexed citations

Huang, Ding-Long, et al.. (2008). Perception of Information Security and its Implications for Mobile Phone. Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 52(20). 1650–1654. 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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