Hua Pang

2.1k total citations · 2 hit papers
64 papers, 1.4k citations indexed

About

Hua Pang is a scholar working on Sociology and Political Science, Communication and Information Systems and Management. According to data from OpenAlex, Hua Pang has authored 64 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Sociology and Political Science, 27 papers in Communication and 18 papers in Information Systems and Management. Recurrent topics in Hua Pang's work include Impact of Technology on Adolescents (44 papers), Social Media and Politics (23 papers) and Digital Marketing and Social Media (21 papers). Hua Pang is often cited by papers focused on Impact of Technology on Adolescents (44 papers), Social Media and Politics (23 papers) and Digital Marketing and Social Media (21 papers). Hua Pang collaborates with scholars based in China, Germany and Netherlands. Hua Pang's co-authors include Jingying Wang, Jiahui Lu, Quan Li, Jun Liu, Yiwei Wang, Qinglong Shao, Yu Zhao, Jingyuan Zhao, Yu Zhao and Lei Wang and has published in prestigious journals such as PLoS ONE, International Journal of Environmental Research and Public Health and Technological Forecasting and Social Change.

In The Last Decade

Hua Pang

60 papers receiving 1.3k citations

Hit Papers

Determining influence of service quality on user identifi... 2023 2026 2024 2025 2023 2023 20 40 60

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hua Pang China 23 1.0k 392 337 176 168 64 1.4k
Amber Hinsley United States 7 1.2k 1.2× 533 1.4× 249 0.7× 146 0.8× 134 0.8× 14 1.6k
Anita Whiting United States 8 974 1.0× 323 0.8× 230 0.7× 93 0.5× 247 1.5× 13 1.3k
Pavica Sheldon United States 16 1.4k 1.4× 518 1.3× 260 0.8× 250 1.4× 215 1.3× 39 1.9k
Nicole L. Muscanell United States 13 944 0.9× 348 0.9× 160 0.5× 206 1.2× 96 0.6× 22 1.4k
Jennifer M. Bonds‐Raacke United States 11 1.3k 1.3× 566 1.4× 324 1.0× 206 1.2× 172 1.0× 20 1.6k
Mia Sisic Canada 6 1.3k 1.3× 502 1.3× 326 1.0× 149 0.8× 106 0.6× 10 1.6k
Michael A. Stefanone United States 22 1.3k 1.3× 746 1.9× 181 0.5× 211 1.2× 135 0.8× 55 1.9k
Thomas E. Ruggiero United States 6 1.4k 1.4× 710 1.8× 386 1.1× 155 0.9× 202 1.2× 9 1.9k
Artemio Ramirez United States 21 1.1k 1.1× 563 1.4× 230 0.7× 733 4.2× 209 1.2× 37 1.9k
M. Laeeq Khan United States 10 947 0.9× 420 1.1× 185 0.5× 61 0.3× 138 0.8× 23 1.3k

Countries citing papers authored by Hua Pang

Since Specialization
Citations

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

Fields of papers citing papers by Hua Pang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hua Pang

This figure shows the co-authorship network connecting the top 25 collaborators of Hua Pang. A scholar is included among the top collaborators of Hua Pang 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 Hua Pang. Hua Pang 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
6.
Pang, Hua, Zhen Wang, & Lei Wang. (2025). Do Perceived Values Influence User Identification and Attitudinal Loyalty in Social Robots? The Mediating Role of Active Involvement. Behavioral Sciences. 15(10). 1329–1329. 1 indexed citations
11.
Pang, Hua, et al.. (2024). Detrimental influences of social comparison and problematic WeChat use on academic achievement: significant role of awareness of inattention. Online Information Review. 49(3). 552–569. 4 indexed citations
12.
Pang, Hua, et al.. (2024). How Can Mobile Social Media Sustain Consumers? Assessing the Dynamic Influences of Differentiated Perceived Interactivity on Attitudes, Belongingness, and Stickiness. Journal of theoretical and applied electronic commerce research. 19(4). 2783–2798. 3 indexed citations
14.
Pang, Hua, et al.. (2023). Modeling pathway linking mobile social media intensity to attitude towards electronic word-of-mouth and engagement: The significant role of social trust and perceived homophily. Technological Forecasting and Social Change. 198. 123023–123023. 50 indexed citations breakdown →
15.
Pang, Hua, et al.. (2023). Determining influence of service quality on user identification, belongingness, and satisfaction on mobile social media: Insight from emotional attachment perspective. Journal of Retailing and Consumer Services. 77. 103688–103688. 61 indexed citations breakdown →
18.
Pang, Hua & Qinglong Shao. (2023). Unpacking the Potential Influence of Life Satisfaction on Network Heterogeneity, Emotional Exhaustion and Mobile App Fatigue: A Stressor–Strain–Outcome Approach. International Journal of Environmental Research and Public Health. 20(4). 3500–3500. 5 indexed citations
19.

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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