Tieyun Qian

2.9k total citations · 1 hit paper
82 papers, 1.7k citations indexed

About

Tieyun Qian is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Tieyun Qian has authored 82 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Artificial Intelligence, 26 papers in Information Systems and 13 papers in Computer Vision and Pattern Recognition. Recurrent topics in Tieyun Qian's work include Topic Modeling (38 papers), Recommender Systems and Techniques (15 papers) and Sentiment Analysis and Opinion Mining (14 papers). Tieyun Qian is often cited by papers focused on Topic Modeling (38 papers), Recommender Systems and Techniques (15 papers) and Sentiment Analysis and Opinion Mining (14 papers). Tieyun Qian collaborates with scholars based in China, United States and Hong Kong. Tieyun Qian's co-authors include Zhuang Chen, Mi Zhang, Hongzhi Yin, Quoc Viet Hung Nguyen, Yile Liang, Ke Sun, Tong Chen, Qing Li, Bei Liu and Ming Zhong and has published in prestigious journals such as Information Sciences, IEEE Transactions on Cybernetics and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Tieyun Qian

72 papers receiving 1.6k 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: Modeling Long- and Short-Term User Preferences for Point-of-Interest Recommendation

2020 234 citations Ke Sun, Tieyun Qian et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tieyun Qian China	20	1.2k	659	249	206	168	82	1.7k
Guoshuai Zhao China	21	888 0.7×	906 1.4×	270 1.1×	132 0.6×	482 2.9×	60	1.6k
Zhixu Li China	22	1.1k 1.0×	812 1.2×	389 1.6×	266 1.3×	343 2.0×	132	1.9k
Lejian Liao China	20	784 0.7×	569 0.9×	197 0.8×	84 0.4×	271 1.6×	123	1.3k
Jingbo Shang United States	19	1.4k 1.2×	322 0.5×	199 0.8×	152 0.7×	209 1.2×	106	2.0k
Einat Minkov Israel	19	575 0.5×	281 0.4×	203 0.8×	155 0.8×	98 0.6×	47	1.2k
Hongbo Deng China	23	901 0.8×	915 1.4×	146 0.6×	156 0.8×	296 1.8×	78	1.8k
Kaiqi Zhao New Zealand	15	441 0.4×	375 0.6×	244 1.0×	300 1.5×	161 1.0×	43	913
Yudian Zheng China	17	874 0.7×	285 0.4×	130 0.5×	125 0.6×	128 0.8×	29	1.4k
Yongli Ren Australia	15	348 0.3×	391 0.6×	147 0.6×	101 0.5×	208 1.2×	76	834
Bolong Zheng China	20	591 0.5×	421 0.6×	275 1.1×	592 2.9×	248 1.5×	88	1.5k

Countries citing papers authored by Tieyun Qian

Since Specialization

Citations

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

Fields of papers citing papers by Tieyun Qian

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tieyun Qian

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

Li, Xiaohu, et al.. (2025). CAVGAN: Unifying Jailbreak and Defense of LLMs via Generative Adversarial Attacks on their Internal Representations. 6664–6678.

2.

Zhong, Ming, et al.. (2024). PSA-GNN: An augmented GNN framework with priori subgraph knowledge. Neural Networks. 173. 106155–106155. 5 indexed citations

3.

Zhong, Ming, et al.. (2024). Evolution Forest Index: Towards Optimal Temporal k -Core Component Search via Time-Topology Isomorphic Computation. Proceedings of the VLDB Endowment. 17(11). 2840–2853.

4.

Miao, Xin, et al.. (2024). An Ensemble-of-Experts Framework for Rehearsal-free Continual Relation Extraction. 1410–1423.

5.

Zhong, Ming, Yuanyuan Zhu, Tieyun Qian, et al.. (2024). Querying Cohesive Subgraph Regarding Span-Constrained Triangles on Temporal Graphs. 3338–3350.

6.

Zhong, Ming, et al.. (2024). A Unified and Scalable Algorithm Framework of User-Defined Temporal (k,X)-Core Query. IEEE Transactions on Knowledge and Data Engineering. 36(7). 2831–2845. 5 indexed citations

7.

Chen, Zhuang, et al.. (2024). Depression Detection in Clinical Interviews with LLM-Empowered Structural Element Graph. 8181–8194. 7 indexed citations

8.

Zhang, Ting, Zhuang Chen, Ming Zhong, & Tieyun Qian. (2023). Mimicking the Thinking Process for Emotion Recognition in Conversation with Prompts and Paraphrasing. 6299–6307. 12 indexed citations

9.

Sun, Ke, Tieyun Qian, Chenliang Li, et al.. (2023). Pre-Training Across Different Cities for Next POI Recommendation. ACM Transactions on the Web. 17(4). 1–27. 5 indexed citations

10.

Li, Wanli, Tieyun Qian, Xuhui Li, & Lixin Zou. (2023). Adversarial Multi-Teacher Distillation for Semi-Supervised Relation Extraction. IEEE Transactions on Neural Networks and Learning Systems. 35(8). 11291–11301. 7 indexed citations

11.

Li, Wanli, et al.. (2022). Interactive Lexical and Semantic Graphs for Semisupervised Relation Extraction. IEEE Transactions on Neural Networks and Learning Systems. 34(10). 7158–7169. 10 indexed citations

12.

Qian, Tieyun, et al.. (2022). Intent Disentanglement and Feature Self-Supervision for Novel Recommendation. IEEE Transactions on Knowledge and Data Engineering. 35(10). 9864–9877. 9 indexed citations

13.

Zhan, Tao, Qian Zeng, Ming Zhong, et al.. (2021). Efficient Sample Location Selection for Query Zone in Geo‐Social Networks. Complexity. 2021(1). 1 indexed citations

14.

Zhong, Ming, et al.. (2021). Effective Deep Attributed Network Representation Learning With Topology Adapted Smoothing. IEEE Transactions on Cybernetics. 52(7). 5935–5946. 63 indexed citations

15.

Qian, Tieyun, Yile Liang, Qing Li, & Hui Xiong. (2020). Attribute Graph Neural Networks for Strict Cold Start Recommendation. IEEE Transactions on Knowledge and Data Engineering. 34(8). 3597–3610. 58 indexed citations

16.

Chen, Zhuang & Tieyun Qian. (2020). Enhancing Aspect Term Extraction with Soft Prototypes. 2107–2117. 40 indexed citations

17.

Zhang, Mi & Tieyun Qian. (2020). Convolution over Hierarchical Syntactic and Lexical Graphs for Aspect Level Sentiment Analysis. 3540–3549. 171 indexed citations

18.

Qian, Tieyun, et al.. (2018). Enhanced Aspect Level Sentiment Classification with Auxiliary Memory.. International Conference on Computational Linguistics. 1077–1087. 30 indexed citations

19.

Qian, Tieyun, et al.. (2018). An Attribute Enhanced Domain Adaptive Model for Cold-Start Spam Review Detection.. International Conference on Computational Linguistics. 1884–1895. 19 indexed citations

20.

He, Guoliang, Yong Duan, Rong Peng, et al.. (2014). Early classification on multivariate time series. Neurocomputing. 149. 777–787. 62 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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