Ning Gu

2.1k total citations
143 papers, 1.2k citations indexed

About

Ning Gu is a scholar working on Information Systems, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Ning Gu has authored 143 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 82 papers in Information Systems, 50 papers in Artificial Intelligence and 45 papers in Computer Networks and Communications. Recurrent topics in Ning Gu's work include Recommender Systems and Techniques (37 papers), Service-Oriented Architecture and Web Services (28 papers) and Usability and User Interface Design (13 papers). Ning Gu is often cited by papers focused on Recommender Systems and Techniques (37 papers), Service-Oriented Architecture and Web Services (28 papers) and Usability and User Interface Design (13 papers). Ning Gu collaborates with scholars based in China, United States and United Kingdom. Ning Gu's co-authors include Tun Lu, Dongsheng Li, Xianghua Ding, Hansu Gu, Li Shang, Qin Lv, Peng Zhang, Jiang-Ming Yang, Canbing Li and Bin Shao and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Neurocomputing.

In The Last Decade

Ning Gu

127 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ning Gu China	20	659	458	277	198	172	143	1.2k
Tun Lu China	20	609 0.9×	496 1.1×	148 0.5×	129 0.7×	313 1.8×	124	1.3k
Paulus Insap Santosa Indonesia	19	464 0.7×	401 0.9×	330 1.2×	185 0.9×	152 0.9×	183	1.7k
Helen Ashman Australia	19	616 0.9×	652 1.4×	350 1.3×	87 0.4×	214 1.2×	83	1.5k
Kami Vaniea United Kingdom	24	743 1.1×	385 0.8×	170 0.6×	300 1.5×	644 3.7×	70	1.4k
Ralf Klamma Germany	18	510 0.8×	250 0.5×	330 1.2×	90 0.5×	199 1.2×	161	1.3k
Anita Komlódi United States	21	376 0.6×	233 0.5×	234 0.8×	242 1.2×	205 1.2×	75	1.2k
Siti Salwah Salim Malaysia	19	633 1.0×	427 0.9×	108 0.4×	116 0.6×	101 0.6×	80	1.5k
Arosha K. Bandara United Kingdom	22	587 0.9×	519 1.1×	432 1.6×	258 1.3×	535 3.1×	84	1.5k
Liliana Ardissono Italy	17	647 1.0×	448 1.0×	212 0.8×	149 0.8×	250 1.5×	101	1.3k
Sauvik Das United States	22	511 0.8×	298 0.7×	688 2.5×	182 0.9×	499 2.9×	72	1.7k

Countries citing papers authored by Ning Gu

Since Specialization

Citations

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

Fields of papers citing papers by Ning Gu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ning Gu

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Gu, Ning, Xudong Zhao, & Chengbo Fu. (2025). Can Agriculture-Related Enterprises’ Green Technological Innovation Ride the “Digital Inclusive Finance” Wave?. Economics. 19(1).

Li, Dongsheng, Hansu Gu, Peng Zhang, et al.. (2025). AgentCF++: Memory-enhanced LLM-based Agents for Popularity-aware Cross-domain Recommendations. 2566–2571.

Zhang, Peng, et al.. (2025). WePilot: Integrating Younger Family Members and Chatbot to Support Older Adults Learning Smartphone Usage. Proceedings of the ACM on Human-Computer Interaction. 9(7). 1–34.

Li, Dongsheng, Hansu Gu, Tun Lu, et al.. (2025). Frequency-aware Graph Signal Processing for Collaborative Filtering. 1417–1421.

Zhang, Peng, Dongsheng Li, Hansu Gu, et al.. (2025). Filtering Discomforting Recommendations with Large Language Models. 3639–3650.

Li, Dongsheng, Hansu Gu, Tun Lu, et al.. (2025). Oracle-guided Dynamic User Preference Modeling for Sequential Recommendation. 363–372.

Li, Dongsheng, et al.. (2025). FedCIA: Federated Collaborative Information Aggregation for Privacy-Preserving Recommendation. 1687–1696. 1 indexed citations

Li, Dongsheng, Hansu Gu, Tun Lu, et al.. (2024). Hierarchical Graph Signal Processing for Collaborative Filtering. 3229–3240. 4 indexed citations

Li, Dongsheng, et al.. (2024). Simulating News Recommendation Ecosystems for Insights and Implications. IEEE Transactions on Computational Social Systems. 11(5). 5699–5713. 8 indexed citations

10.

Zhang, Peng, et al.. (2024). DeLink: An Adversarial Framework for Defending against Cross-site User Identity Linkage. ACM Transactions on the Web. 18(2). 1–34. 1 indexed citations

11.

Gu, Hansu, et al.. (2024). RAH! RecSys–Assistant–Human: A Human-Centered Recommendation Framework With LLM Agents. IEEE Transactions on Computational Social Systems. 11(5). 6759–6770. 15 indexed citations

12.

Li, Dongsheng, et al.. (2024). Heterogeneous Graph Neural Network with Personalized and Adaptive Diversity for News Recommendation. ACM Transactions on the Web. 18(3). 1–33. 6 indexed citations

13.

Liu, S. B., Hansu Gu, Dongsheng Li, et al.. (2023). AutoSeqRec: Autoencoder for Efficient Sequential Recommendation. 1493–1502. 17 indexed citations

14.

Li, Dongsheng, Hansu Gu, Tun Lu, et al.. (2023). Personalized Graph Signal Processing for Collaborative Filtering. arXiv (Cornell University). 1264–1272. 17 indexed citations

15.

Li, Dongsheng, Hansu Gu, Tun Lu, et al.. (2023). Triple Structural Information Modelling for Accurate, Explainable and Interactive Recommendation. 1086–1095. 5 indexed citations

16.

Zhao, Yingying, Rui Zhu, Qin Lv, et al.. (2023). CASES. Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies. 7(3). 1–31. 6 indexed citations

17.

Zhang, Peng, et al.. (2022). Jointly Predicting Future Content in Multiple Social Media Sites Based on Multi-task Learning. ACM Transactions on Information Systems. 40(4). 1–28. 2 indexed citations

18.

Zhang, Peng, et al.. (2022). Exploring How Workspace Awareness Cues Affect Distributed Meeting Outcome. International Journal of Human-Computer Interaction. 39(8). 1606–1625. 3 indexed citations

19.

Zhao, Yingying, Ning Li, Yujiang Wang, et al.. (2022). Unveiling Causal Attention in Dogs' Eyes with Smart Eyewear. Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies. 6(4). 1–33.

20.

Gu, Ning. (2010). Key Techniques of Consistency Maintenance in Real-time Collaboration. Jisuanji gongcheng. 2 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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