Jung-Chieh Lee

706 total citations · 1 hit paper
25 papers, 474 citations indexed

About

Jung-Chieh Lee is a scholar working on Information Systems and Management, Strategy and Management and Sociology and Political Science. According to data from OpenAlex, Jung-Chieh Lee has authored 25 papers receiving a total of 474 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Information Systems and Management, 9 papers in Strategy and Management and 9 papers in Sociology and Political Science. Recurrent topics in Jung-Chieh Lee's work include Technology Adoption and User Behaviour (13 papers), Innovation and Knowledge Management (8 papers) and Digital Marketing and Social Media (7 papers). Jung-Chieh Lee is often cited by papers focused on Technology Adoption and User Behaviour (13 papers), Innovation and Knowledge Management (8 papers) and Digital Marketing and Social Media (7 papers). Jung-Chieh Lee collaborates with scholars based in China, Taiwan and Hong Kong. Jung-Chieh Lee's co-authors include Chung‐Yang Chen, Yuyin Tang, Siqi Jiang, Tao Li and Lei Bi and has published in prestigious journals such as Journal of Business Research, Industrial Management & Data Systems and Journal of Systems and Software.

In The Last Decade

Jung-Chieh Lee

23 papers receiving 439 citations

Hit Papers

Exploring users' adoption intentions in the evolution of ... 2022 2026 2023 2024 2022 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jung-Chieh Lee China 14 183 133 118 115 93 25 474
NoorUl Ain Italy 6 273 1.5× 120 0.9× 113 1.0× 84 0.7× 157 1.7× 8 610
Amir A. Abdulmuhsin Iraq 14 180 1.0× 83 0.6× 125 1.1× 93 0.8× 88 0.9× 30 464
Takwa Tarhini Qatar 6 273 1.5× 160 1.2× 147 1.2× 74 0.6× 111 1.2× 7 585
Khadija Alhumaid United Arab Emirates 14 215 1.2× 137 1.0× 222 1.9× 149 1.3× 80 0.9× 27 778
Nor Zairah Ab. Rahim Malaysia 9 279 1.5× 244 1.8× 71 0.6× 81 0.7× 77 0.8× 48 552
Ojiabo Ukoha United States 8 213 1.2× 105 0.8× 73 0.6× 68 0.6× 128 1.4× 15 471
Vatcharaporn Esichaikul Thailand 12 225 1.2× 147 1.1× 85 0.7× 126 1.1× 45 0.5× 49 634
Kalyan Kumar Bhattacharjee India 4 126 0.7× 69 0.5× 163 1.4× 83 0.7× 65 0.7× 6 516
Ruwan Bandara Australia 14 185 1.0× 283 2.1× 101 0.9× 85 0.7× 130 1.4× 21 657
Ramakrishna Ayyagari United States 12 181 1.0× 249 1.9× 43 0.4× 107 0.9× 104 1.1× 20 549

Countries citing papers authored by Jung-Chieh Lee

Since Specialization
Citations

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

Fields of papers citing papers by Jung-Chieh Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jung-Chieh Lee. 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 Jung-Chieh Lee. The network helps show where Jung-Chieh Lee may publish in the future.

Co-authorship network of co-authors of Jung-Chieh Lee

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

All Works

20 of 20 papers shown
3.
Lee, Jung-Chieh, et al.. (2025). Environmental concerns and green trust in continuous green fintech use: an expectation-confirmation model with insights from Ant Forest. Humanities and Social Sciences Communications. 12(1). 2 indexed citations
4.
Lee, Jung-Chieh, et al.. (2024). User stickiness to facial recognition payment technology: insights from Sako’s trust typology, privacy concerns, and a cross-cultural context. Humanities and Social Sciences Communications. 11(1). 1 indexed citations
5.
Lee, Jung-Chieh, et al.. (2024). How the UTAUT motivates consumers' continuous use of green FinTech: the moderation effect of consumer social responsibility and long-term orientation. Aslib Journal of Information Management. 77(5). 1052–1078. 10 indexed citations
8.
Lee, Jung-Chieh & Chung‐Yang Chen. (2023). The impact of knowledge inertia on process tailoring in the dynamic development of software projects in Chinese industries. Information and Software Technology. 165. 107337–107337. 5 indexed citations
9.
Lee, Jung-Chieh, Yuyin Tang, & Siqi Jiang. (2023). Understanding continuance intention of artificial intelligence (AI)-enabled mobile banking applications: an extension of AI characteristics to an expectation confirmation model. Humanities and Social Sciences Communications. 10(1). 43 indexed citations
10.
Lee, Jung-Chieh, et al.. (2023). Exploring the adoption decisions of mobile health service users: a behavioral reasoning theory perspective. Industrial Management & Data Systems. 123(8). 2241–2266. 17 indexed citations
11.
Lee, Jung-Chieh, et al.. (2023). The continuous usage of artificial intelligence (AI)-powered mobile fitness applications: the goal-setting theory perspective. Industrial Management & Data Systems. 123(6). 1840–1860. 25 indexed citations
12.
Lee, Jung-Chieh, et al.. (2022). Exploring users' adoption intentions in the evolution of artificial intelligence mobile banking applications: the intelligent and anthropomorphic perspectives. International Journal of Bank Marketing. 40(4). 631–658. 127 indexed citations breakdown →
13.
Chen, Chung‐Yang & Jung-Chieh Lee. (2021). Comparative effects of knowledge-based antecedents in different realms of CMMI-based software process improvement success. Computer Standards & Interfaces. 81. 103599–103599. 4 indexed citations
14.
Lee, Jung-Chieh, et al.. (2021). Investigation of the relationships among educational application (APP) quality, computer anxiety and student engagement. Online Information Review. 46(1). 182–203. 23 indexed citations
15.
Lee, Jung-Chieh, et al.. (2020). The effect of transactive memory systems on process tailoring in software projects: The moderating role of task conflict and shared temporal cognitions. Journal of Systems and Software. 164. 110545–110545. 14 indexed citations
16.
Lee, Jung-Chieh & Chung‐Yang Chen. (2020). Exploring the team dynamic learning process in software process tailoring performance. Journal of Enterprise Information Management. 33(3). 502–518. 15 indexed citations
17.
Lee, Jung-Chieh, et al.. (2020). An integrated model of the knowledge antecedents for exploring software process improvement success. Journal of Enterprise Information Management. 33(6). 1537–1556. 14 indexed citations
18.
Lee, Jung-Chieh & Chung‐Yang Chen. (2019). The Moderator of Innovation Culture and the Mediator of Realized Absorptive Capacity in Enhancing Organizations' Absorptive Capacity for SPI Success. Journal of Global Information Management. 27(4). 70–90. 13 indexed citations
19.
Lee, Jung-Chieh, et al.. (2017). The moderating effects of organisational culture on the relationship between absorptive capacity and software process improvement success. Information Technology and People. 30(1). 47–70. 23 indexed citations
20.
Lee, Jung-Chieh, et al.. (2016). Impact of absorptive capability on software process improvement and firm performance. Information Technology and Management. 19(1). 21–35. 14 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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