Guandong Xu

10.9k total citations · 5 hit papers
307 papers, 6.3k citations indexed

About

Guandong Xu is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Guandong Xu has authored 307 papers receiving a total of 6.3k indexed citations (citations by other indexed papers that have themselves been cited), including 182 papers in Artificial Intelligence, 142 papers in Information Systems and 53 papers in Computer Vision and Pattern Recognition. Recurrent topics in Guandong Xu's work include Recommender Systems and Techniques (92 papers), Advanced Graph Neural Networks (55 papers) and Topic Modeling (52 papers). Guandong Xu is often cited by papers focused on Recommender Systems and Techniques (92 papers), Advanced Graph Neural Networks (55 papers) and Topic Modeling (52 papers). Guandong Xu collaborates with scholars based in Australia, China and Hong Kong. Guandong Xu's co-authors include Imran Razzak, Shuiguang Deng, Shaowu Liu, Muhammad Imran, Enhong Chen, Xianzhi Wang, Dongjing Wang, Longtao Huang, Yao Wan and Longbing Cao and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Expert Systems with Applications.

In The Last Decade

Guandong Xu

278 papers receiving 6.1k citations

Hit Papers

Future smart cities: requirements... 2016 2026 2019 2022 2022 2018 2016 2018 2020 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
Guandong Xu Australia 42 3.3k 2.9k 970 762 597 307 6.3k
Longbing Cao Australia 45 4.4k 1.3× 3.5k 1.2× 1.3k 1.4× 947 1.2× 893 1.5× 361 7.8k
Barry Smyth Ireland 45 3.0k 0.9× 4.3k 1.5× 1.2k 1.2× 1.1k 1.4× 532 0.9× 283 7.6k
Lars Schmidt-Thieme Germany 32 3.6k 1.1× 4.2k 1.4× 1.3k 1.4× 592 0.8× 837 1.4× 156 6.5k
Weinan Zhang China 42 4.5k 1.4× 2.4k 0.8× 2.1k 2.2× 553 0.7× 476 0.8× 265 7.9k
Wayne Xin Zhao China 43 5.2k 1.6× 4.1k 1.4× 1.4k 1.5× 571 0.7× 457 0.8× 192 7.4k
Lichan Hong United States 27 2.5k 0.8× 2.7k 0.9× 1.8k 1.8× 479 0.6× 246 0.4× 81 6.0k
Aixin Sun Singapore 45 4.9k 1.5× 3.7k 1.3× 1.3k 1.3× 836 1.1× 854 1.4× 223 8.7k
Jason J. Jung South Korea 31 1.4k 0.4× 1.3k 0.4× 591 0.6× 775 1.0× 405 0.7× 251 3.9k
Wagner Meira Brazil 40 2.1k 0.7× 1.9k 0.6× 547 0.6× 1.8k 2.4× 618 1.0× 317 6.5k
Zhao Li China 36 4.3k 1.3× 1.3k 0.4× 1.1k 1.1× 1.1k 1.4× 575 1.0× 450 7.2k

Countries citing papers authored by Guandong Xu

Since Specialization
Citations

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

Fields of papers citing papers by Guandong Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guandong Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Guandong Xu. A scholar is included among the top collaborators of Guandong Xu 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 Guandong Xu. Guandong Xu 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.
Lin, Xixun, Yanan Cao, Lixin Zou, et al.. (2025). Contrastive Modality-Disentangled Learning for Multimodal Recommendation. ACM Transactions on Information Systems. 43(3). 1–31. 11 indexed citations
2.
Hu, Haiyang, et al.. (2024). Modeling multi-behavior sequence via HyperGRU contrastive network for micro-video recommendation. Knowledge-Based Systems. 295. 111841–111841. 2 indexed citations
3.
Zhao, Feng, et al.. (2024). Graph Reasoning Transformers for Knowledge-Aware Question Answering. Proceedings of the AAAI Conference on Artificial Intelligence. 38(17). 19652–19660. 1 indexed citations
4.
Wang, Jing, et al.. (2024). Optimizing Sampling Points and Path Planning for Soil Monitoring in Agricultural Land. Agronomy. 14(12). 2947–2947. 5 indexed citations
5.
Matin, Abdul, Md Rafiqul Islam, Xianzhi Wang, Huan Huo, & Guandong Xu. (2023). AIoT for sustainable manufacturing: Overview, challenges, and opportunities. Internet of Things. 24. 100901–100901. 44 indexed citations
6.
Li, Qian, et al.. (2023). Achieving counterfactual fairness with imperfect structural causal model. Expert Systems with Applications. 240. 122411–122411.
7.
Wu, Zongda, et al.. (2023). A Confusion Method for the Protection of User Topic Privacy in Chinese Keyword-based Book Retrieval. ACM Transactions on Asian and Low-Resource Language Information Processing. 22(5). 1–19. 28 indexed citations
8.
Yang, Haoran, Xiangyu Zhao, Muyang Li, Hongxu Chen, & Guandong Xu. (2023). Mitigating the performance sacrifice in DP-satisfied federated settings through graph contrastive learning. Information Sciences. 648. 119552–119552. 1 indexed citations
9.
Li, Lin, et al.. (2023). Decoupled Progressive Distillation for Sequential Prediction with Interaction Dynamics. ACM Transactions on Information Systems. 42(3). 1–35.
10.
Wang, Xianzhi, et al.. (2023). Simplifying Graph-based Collaborative Filtering for Recommendation. 60–68. 13 indexed citations
11.
Wang, Xianzhi, et al.. (2023). Dyformer: A Dynamic Transformer-Based Architecture for Multivariate Time Series Classification. SSRN Electronic Journal. 1 indexed citations
12.
Zhao, Rui-Lin, et al.. (2022). Can Language Models Serve as Temporal Knowledge Bases?. 2024–2037. 5 indexed citations
13.
Wang, Dongjing, Xin Zhang, Yao Wan, et al.. (2021). Modeling Sequential Listening Behaviors With Attentive Temporal Point Process for Next and Next New Music Recommendation. IEEE Transactions on Multimedia. 24. 4170–4182. 26 indexed citations
14.
Li, Qian, Zhichao Wang, Shaowu Liu, Gang Li, & Guandong Xu. (2021). Causal Optimal Transport for Treatment Effect Estimation. IEEE Transactions on Neural Networks and Learning Systems. 34(8). 4083–4095. 16 indexed citations
15.
Wu, Zongda, Ruiqin Wang, Qi Li, et al.. (2020). A Location Privacy-Preserving System Based on Query Range Cover-Up or Location-Based Services. IEEE Transactions on Vehicular Technology. 69(5). 5244–5254. 86 indexed citations
16.
Wang, Dongjing, Xin Zhang, Dongjin Yu, Guandong Xu, & Shuiguang Deng. (2020). CAME: Content- and Context-Aware Music Embedding for Recommendation. IEEE Transactions on Neural Networks and Learning Systems. 32(3). 1375–1388. 52 indexed citations
17.
Xu, Guandong, et al.. (2016). Protecting private geosocial networks against practical hybrid attacks with heterogeneous information. Neurocomputing. 210. 81–90. 3 indexed citations
18.
He, Wu, Guandong Xu, & S. E. Kruck. (2014). Online IS Education for the 21st Century. Journal of the Association for Information Systems. 25(2). 101–105. 76 indexed citations
20.
Zhang, Yanchun, Guandong Xu, & Xiaofang Zhou. (2005). A latent usage approach for clustering web transaction and building user profile. Queensland's institutional digital repository (The University of Queensland).

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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