Qinglong Li

529 total citations
32 papers, 292 citations indexed

About

Qinglong Li is a scholar working on Information Systems, Sociology and Political Science and Artificial Intelligence. According to data from OpenAlex, Qinglong Li has authored 32 papers receiving a total of 292 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Information Systems, 14 papers in Sociology and Political Science and 14 papers in Artificial Intelligence. Recurrent topics in Qinglong Li's work include Recommender Systems and Techniques (18 papers), Digital Marketing and Social Media (14 papers) and Sentiment Analysis and Opinion Mining (7 papers). Qinglong Li is often cited by papers focused on Recommender Systems and Techniques (18 papers), Digital Marketing and Social Media (14 papers) and Sentiment Analysis and Opinion Mining (7 papers). Qinglong Li collaborates with scholars based in South Korea, China and Canada. Qinglong Li's co-authors include Jaekyeong Kim, Xueliang Zhang, Dong-Eon Kim, Fuzheng Zhang, Qijing Lin, Linzhang Wang, Jae Kyeong Kim, Dong-Eon Kim, Il Young Choi and Yujun Wang and has published in prestigious journals such as IEEE Access, Sustainability and International Journal of Hospitality Management.

In The Last Decade

Qinglong Li

26 papers receiving 286 citations

Peers

Qinglong Li
Dayi Lin Canada
George Valkanas Greece
Vincent Toubiana France
Suhas Ranganath United States
A. Sreekumar India
Jyh-haw Yeh United States
John V. Cugini United States
Inay Ha South Korea
Gabriele Costa Italy
Saverio Lemma Italy
Dayi Lin Canada
Qinglong Li
Citations per year, relative to Qinglong Li Qinglong Li (= 1×) peers Dayi Lin

Countries citing papers authored by Qinglong Li

Since Specialization
Citations

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

Fields of papers citing papers by Qinglong Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qinglong Li

This figure shows the co-authorship network connecting the top 25 collaborators of Qinglong Li. A scholar is included among the top collaborators of Qinglong 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 Qinglong Li. Qinglong 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, Qinglong, et al.. (2025). A BERT-based review helpfulness prediction model utilizing consistency of ratings and texts. Applied Intelligence. 55(7).
2.
3.
Li, Qinglong, et al.. (2025). ITS-Rec: A Sequential Recommendation Model Using Item Textual Information. Electronics. 14(9). 1748–1748. 1 indexed citations
4.
Li, Qinglong, et al.. (2025). A Multimodal Deep Learning Framework for Consistency-Aware Review Helpfulness Prediction. Electronics. 14(15). 3089–3089.
5.
Kim, Dong-Eon, et al.. (2024). AXCF: Aspect‐based collaborative filtering for explainable recommendations. Expert Systems. 41(8). 2 indexed citations
6.
Li, Qinglong, et al.. (2024). Two-Stage Neural Network Model with Packet Loss Detection for ICASSP 2024 PLC Challenge. 9–10. 1 indexed citations
7.
8.
Li, Jin, et al.. (2024). Attentive Review Semantics-Aware Recommendation Model for Rating Prediction. Electronics. 13(14). 2815–2815. 1 indexed citations
9.
Li, Qinglong, et al.. (2024). A Multimodal Recommender System Using Deep Learning Techniques Combining Review Texts and Images. Applied Sciences. 14(20). 9206–9206. 4 indexed citations
10.
Li, Qinglong, et al.. (2023). A Review Helpfulness Modeling Mechanism for Online E-commerce: Multi-Channel CNN End‑to‑End Approach. Applied Artificial Intelligence. 37(1). 14 indexed citations
11.
Li, Qinglong, et al.. (2023). Restaurant recommendation model using textual information to estimate consumer preference: evidence from an online restaurant platform. Journal of Hospitality and Tourism Technology. 14(5). 857–877. 9 indexed citations
12.
13.
Li, Qinglong, et al.. (2023). Attention-based multi attribute matrix factorization for enhanced recommendation performance. Information Systems. 121. 102334–102334. 6 indexed citations
14.
Kang, Kyungmo, et al.. (2022). A Study on Enhanced Recommendation Performance with User Qualitative and Quantitative Preference. Korean Management Science Review. 39(1). 15–27. 1 indexed citations
15.
16.
Li, Qinglong, et al.. (2021). A Hybrid CNN-Based Review Helpfulness Filtering Model for Improving E-Commerce Recommendation Service. Applied Sciences. 11(18). 8613–8613. 31 indexed citations
17.
Li, Qinglong, et al.. (2021). A CNN-Based Advertisement Recommendation through Real-Time User Face Recognition. Applied Sciences. 11(20). 9705–9705. 18 indexed citations
18.
Zhang, Fuzheng, et al.. (2021). Application of Sensing Technology in the Protection of Architectural Heritage: A Review. 654–658. 14 indexed citations
19.
Kim, Jae Kyeong, et al.. (2021). The demand effect analysis of head books and tail books in book recommendation networks. Expert Systems. 39(2). 3 indexed citations
20.
Li, Qinglong, et al.. (2018). Online Direction of Arrival Estimation Based on Deep Learning. 2616–2620. 40 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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