Zhixu Li

3.7k total citations · 2 hit papers
132 papers, 1.9k citations indexed

About

Zhixu Li is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Zhixu Li has authored 132 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 94 papers in Artificial Intelligence, 36 papers in Information Systems and 25 papers in Computer Vision and Pattern Recognition. Recurrent topics in Zhixu Li's work include Topic Modeling (47 papers), Natural Language Processing Techniques (33 papers) and Data Management and Algorithms (20 papers). Zhixu Li is often cited by papers focused on Topic Modeling (47 papers), Natural Language Processing Techniques (33 papers) and Data Management and Algorithms (20 papers). Zhixu Li collaborates with scholars based in China, Australia and Saudi Arabia. Zhixu Li's co-authors include Xiaofang Zhou, An Liu, Jiajie Xu, Kai Zheng, Guanfeng Liu, Pengpeng Zhao, Victor S. Sheng, Yanchi Liu, Fuzhen Zhuang and Lei Zhao and has published in prestigious journals such as IEEE Access, Neurocomputing and IEEE Transactions on Knowledge and Data Engineering.

In The Last Decade

Zhixu Li

129 papers receiving 1.9k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Where to Go Next: A Spatio-Temporal Gated Network for Next POI Recommendation

2020 210 citations Jiajie Xu, Zhixu Li et al. IEEE Transactions on Knowledge and Data Engineering profile →
Multi-Modal Knowledge Graph Construction and Application: A Survey

2022 136 citations Zhixu Li, Xuwu Wang et al. IEEE Transactions on Knowledge and Data Engineering profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Zhixu Li China	22	1.1k	812	389	343	272	132	1.9k
Panagiotis Symeonidis Greece	23	853 0.7×	1.1k 1.3×	155 0.4×	344 1.0×	212 0.8×	68	1.8k
Hongbo Deng China	23	901 0.8×	915 1.1×	146 0.4×	296 0.9×	219 0.8×	78	1.8k
Guoshuai Zhao China	21	888 0.8×	906 1.1×	270 0.7×	482 1.4×	135 0.5×	60	1.6k
Xavier Amatriain Spain	21	593 0.5×	1.1k 1.3×	150 0.4×	656 1.9×	327 1.2×	62	2.0k
Abraham Gutiérrez Spain	11	1.0k 0.9×	2.0k 2.5×	208 0.5×	695 2.0×	417 1.5×	41	2.5k
Yong Ge United States	22	643 0.6×	541 0.7×	168 0.4×	304 0.9×	225 0.8×	63	1.6k
Zeno Gantner Germany	12	812 0.7×	1.1k 1.4×	100 0.3×	434 1.3×	155 0.6×	14	1.7k
Tieyun Qian China	20	1.2k 1.0×	659 0.8×	249 0.6×	168 0.5×	132 0.5×	82	1.7k
Christoph Freudenthaler Germany	12	1.6k 1.4×	2.6k 3.2×	412 1.1×	763 2.2×	281 1.0×	18	2.9k

Countries citing papers authored by Zhixu Li

Since Specialization

Citations

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

Fields of papers citing papers by Zhixu Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhixu Li

This figure shows the co-authorship network connecting the top 25 collaborators of Zhixu Li. A scholar is included among the top collaborators of Zhixu 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 Zhixu Li. Zhixu Li 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

1.

Ren, Yi, Y. Zheng, Zhixu Li, et al.. (2025). Learning 6-DoF Fine-Grained Grasp Detection Based on Part Affordance Grounding. IEEE Transactions on Automation Science and Engineering. 22. 15200–15214. 3 indexed citations

2.

Yang, Qiang, et al.. (2025). Neo-TKGC: Enhancing Temporal Knowledge Graph Completion with Integrated Node Weights and Future Information. 373–381. 1 indexed citations

3.

Wang, Jiaan, et al.. (2024). Concept-aware embedding for logical query reasoning over knowledge graphs. Information Processing & Management. 62(2). 103971–103971. 1 indexed citations

4.

Li, Zhixu, et al.. (2024). GeoAgent: To Empower LLMs using Geospatial Tools for Address Standardization. 6048–6063. 8 indexed citations

5.

Li, Lingyu, et al.. (2024). ESC-Eval: Evaluating Emotion Support Conversations in Large Language Models. 15785–15810. 1 indexed citations

6.

Huang, Wenhao, et al.. (2024). AutoScraper: A Progressive Understanding Web Agent for Web Scraper Generation. 2371–2389. 2 indexed citations

7.

Liu, Haoyu, et al.. (2024). Scene-Driven Multimodal Knowledge Graph Construction for Embodied AI. IEEE Transactions on Knowledge and Data Engineering. 36(11). 6962–6976. 13 indexed citations

8.

Huang, Wenhao, et al.. (2023). Adaptive Ordered Information Extraction with Deep Reinforcement Learning. 13664–13678. 1 indexed citations

9.

Wang, Jiaan, Yunlong Liang, Fandong Meng, et al.. (2023). Is ChatGPT a Good NLG Evaluator? A Preliminary Study. 1–11. 119 indexed citations

10.

Fu, Qiang, et al.. (2023). Hallucination Detection: Robustly Discerning Reliable Answers in Large Language Models. 245–255. 39 indexed citations

11.

Zhang, Jingdan, et al.. (2023). AspectMMKG: A Multi-modal Knowledge Graph with Aspect-aware Entities. 3361–3370. 4 indexed citations

12.

Chen, Yuyan, Zhengyu Chen, Wei Wu, et al.. (2023). MAPO: Boosting Large Language Model Performance with Model-Adaptive Prompt Optimization. 3279–3304. 7 indexed citations

13.

Qu, Jianfeng, Wen Hua, Zhixu Li, et al.. (2023). Evidence Reasoning and Curriculum Learning for Document-level Relation Extraction. IEEE Transactions on Knowledge and Data Engineering. 1–14. 3 indexed citations

14.

Xiao, Yanghua, et al.. (2023). XMQAs: Constructing Complex-Modified Question-Answering Dataset for Robust Question Understanding. IEEE Transactions on Knowledge and Data Engineering. 36(3). 1371–1384. 1 indexed citations

15.

Wang, Jiaan, Fandong Meng, Duo Zheng, et al.. (2022). ClidSum: A Benchmark Dataset for Cross-Lingual Dialogue Summarization. 7716–7729. 19 indexed citations

16.

Wang, Xuwu, Junfeng Tian, Min Gui, et al.. (2022). WikiDiverse: A Multimodal Entity Linking Dataset with Diversified Contextual Topics and Entity Types. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 4785–4797. 18 indexed citations

17.

Liu, Guanfeng, et al.. (2020). Strong Social Graph Based Trust-Oriented Graph Pattern Matching With Multiple Constraints. IEEE Transactions on Emerging Topics in Computational Intelligence. 4(5). 675–685. 10 indexed citations

18.

Liu, An, Yifan Zhang, Xiangliang Zhang, et al.. (2020). Representation Learning With Multi-Level Attention for Activity Trajectory Similarity Computation. IEEE Transactions on Knowledge and Data Engineering. 34(5). 2387–2400. 20 indexed citations

19.

Qian, Lai, Guanfeng Liu, Fei Zhu, et al.. (2019). Enhancing User Experience of Task Assignment in Spatial Crowdsourcing: A Self-Adaptive Batching Approach. IEEE Access. 7. 132324–132332. 3 indexed citations

20.

Liu, An, Weiqi Wang, Zhixu Li, et al.. (2017). A Privacy-Preserving Framework for Trust-Oriented Point-of-Interest Recommendation. IEEE Access. 6. 393–404. 28 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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