Minglong Li

2.0k total citations · 2 hit papers
52 papers, 1.4k citations indexed

About

Minglong Li is a scholar working on Sociology and Political Science, Artificial Intelligence and Marketing. According to data from OpenAlex, Minglong Li has authored 52 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Sociology and Political Science, 21 papers in Artificial Intelligence and 12 papers in Marketing. Recurrent topics in Minglong Li's work include Digital Marketing and Social Media (11 papers), Customer Service Quality and Loyalty (10 papers) and Reinforcement Learning in Robotics (9 papers). Minglong Li is often cited by papers focused on Digital Marketing and Social Media (11 papers), Customer Service Quality and Loyalty (10 papers) and Reinforcement Learning in Robotics (9 papers). Minglong Li collaborates with scholars based in China, Hong Kong and United States. Minglong Li's co-authors include Hailian Qiu, Billy Bai, Cathy H.C. Hsu, Boyang Shu, Qiushi Gu, Yingli Li, Ning Wang, Kam Hung, Seongseop Kim and Sha Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Tourism Management and International Journal of Hydrogen Energy.

In The Last Decade

Minglong Li

44 papers receiving 1.4k citations

Hit Papers

Enhancing hospitality experience with service robots: the... 2019 2026 2021 2023 2019 2021 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Minglong Li China 18 652 576 453 349 273 52 1.4k
Christian Brock Germany 15 745 1.1× 593 1.0× 687 1.5× 329 0.9× 308 1.1× 31 1.7k
Vanja Bogicevic United States 14 845 1.3× 186 0.3× 690 1.5× 347 1.0× 192 0.7× 22 1.6k
Minwoo Lee United States 25 1.2k 1.8× 416 0.7× 732 1.6× 403 1.2× 114 0.4× 109 2.0k
Antje Martins Australia 5 874 1.3× 1.3k 2.3× 597 1.3× 182 0.5× 562 2.1× 5 2.0k
Frans Feldberg Netherlands 16 748 1.1× 252 0.4× 446 1.0× 225 0.6× 166 0.6× 30 1.8k
Jason L. Stienmetz Austria 19 769 1.2× 415 0.7× 415 0.9× 101 0.3× 170 0.6× 32 1.2k
Katerina Berezina United States 15 1.2k 1.8× 494 0.9× 780 1.7× 436 1.2× 181 0.7× 29 1.7k
Heetae Yang South Korea 9 623 1.0× 294 0.5× 413 0.9× 122 0.3× 108 0.4× 17 1.3k
Arun Aggarwal India 23 331 0.5× 148 0.3× 217 0.5× 376 1.1× 154 0.6× 76 1.8k
Shailendra Pratap Jain United States 23 762 1.2× 136 0.2× 860 1.9× 224 0.6× 276 1.0× 55 2.6k

Countries citing papers authored by Minglong Li

Since Specialization
Citations

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

Fields of papers citing papers by Minglong Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minglong Li

This figure shows the co-authorship network connecting the top 25 collaborators of Minglong Li. A scholar is included among the top collaborators of Minglong Li 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 Minglong Li. Minglong Li 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
1.
Li, Minglong, et al.. (2025). An augmented–depleted framework of AI awareness: Concept expansion and scale development. International Journal of Hospitality Management. 128. 104164–104164.
2.
Li, Minglong, et al.. (2025). The impacts of employee–robot hybrid teams on customers’ value cocreation and codestruction behaviors. International Journal of Hospitality Management. 130. 104264–104264. 1 indexed citations
3.
Hu, Zongjie, et al.. (2024). Spark ignition and stable flame of premixed methanol-ammonia gaseous jet at atmospheric surrounding. International Journal of Hydrogen Energy. 90. 1325–1332. 1 indexed citations
4.
Zhong, Fangwei, et al.. (2024). RoMAT: Role-based multi-agent transformer for generalizable heterogeneous cooperation. Neural Networks. 174. 106129–106129. 5 indexed citations
5.
Jiang, Yuehua, et al.. (2024). Investigating spatial patterns and determinants of tourist attractions utilizing POI data: A case study of Hubei Province, China. Heliyon. 10(11). e32370–e32370. 6 indexed citations
6.
Gu, Qiushi, Minglong Li, & Seongseop Kim. (2024). Effects of liquor and wine heritage stimuli on tourists’ experiential value and behavioral intentions. Journal of Destination Marketing & Management. 34. 100961–100961. 1 indexed citations
7.
Qiu, Hailian, et al.. (2024). Can tourists be educated? The effect of tourist environmental education on environmentally responsible behavior. Asia Pacific Journal of Tourism Research. 29(1). 113–125. 5 indexed citations
8.
Li, Minglong, et al.. (2024). Real in virtual: the influence mechanism of virtual reality on tourists’ perceptions of presence and authenticity in museum tourism. International Journal of Contemporary Hospitality Management. 36(11). 3651–3673. 18 indexed citations
9.
Li, Minglong, et al.. (2023). Do customers exhibit engagement behaviors in AI environments? The role of psychological benefits and technology readiness. Tourism Management. 97. 104745–104745. 58 indexed citations
10.
Li, Minglong, et al.. (2023). When the servicescape becomes intelligent: Conceptualization, assessment, and implications for hospitableness. Journal of Hospitality and Tourism Management. 54. 290–299. 31 indexed citations
11.
Li, Zhifei, et al.. (2023). Is social interaction a source or an inhibitor of tourism fatigue? A study during the COVID-19 trough period. Current Issues in Tourism. 27(2). 305–322. 6 indexed citations
12.
Shan, Lianlei, Minglong Li, Xiaobin Li, et al.. (2021). UHRSNet: A Semantic Segmentation Network Specifically for Ultra-High-Resolution Images. 1460–1466. 21 indexed citations
13.
Yang, Wenjing, et al.. (2021). Role‐based attention in deep reinforcement learning for games. Computer Animation and Virtual Worlds. 32(2). 4 indexed citations
14.
Li, Minglong. (2019). Swarm Robot Task Planning Based on Air and Ground Coordination for Disaster Search and Rescue. Journal of Mechanical Engineering. 55(11). 1–1. 35 indexed citations
15.
Liang, Zhen, et al.. (2019). Parallel Gym Gazebo: a Scalable Parallel Robot Deep Reinforcement Learning Platform. 206–213. 2 indexed citations
17.
Yang, Wenjing, et al.. (2018). ALLIANCE‐ROS: A Software Framework on ROS for Fault‐Tolerant and Cooperative Mobile Robots. Chinese Journal of Electronics. 27(3). 467–475. 15 indexed citations
18.
Li, Minglong, et al.. (2017). Improved SURF Algorithm and Its Application in Seabed Relief Image Matching. SHILAP Revista de lepidopterología. 12. 5017–5017. 2 indexed citations
19.
Li, Minglong & Cathy H.C. Hsu. (2016). Customer Participation in Services and its Effect on Employee Innovative Behavior. Journal of Hospitality Marketing & Management. 26(2). 164–185. 13 indexed citations
20.
Li, Minglong & Cathy H.C. Hsu. (2016). A review of employee innovative behavior in services. International Journal of Contemporary Hospitality Management. 28(12). 2820–2841. 124 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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