Suqi Cheng

721 total citations · 3 hit papers
16 papers, 360 citations indexed

About

Suqi Cheng is a scholar working on Information Systems, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Suqi Cheng has authored 16 papers receiving a total of 360 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Information Systems, 9 papers in Artificial Intelligence and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Suqi Cheng's work include Topic Modeling (9 papers), Recommender Systems and Techniques (6 papers) and Multimodal Machine Learning Applications (4 papers). Suqi Cheng is often cited by papers focused on Topic Modeling (9 papers), Recommender Systems and Techniques (6 papers) and Multimodal Machine Learning Applications (4 papers). Suqi Cheng collaborates with scholars based in China, Hong Kong and United States. Suqi Cheng's co-authors include Dawei Yin, Lixin Su, Chao Huang, Wei Wei, Xubin Ren, Jiabin Tang, Shuaiqiang Wang, Dawei Yin, Yiding Liu and Qinyong Wang and has published in prestigious journals such as Computer Networks, ACM Transactions on Information Systems and Science China Information Sciences.

In The Last Decade

Suqi Cheng

14 papers receiving 356 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.

LLMRec: Large Language Models with Graph Augmentation for Recommendation

2024 87 citations Wei Wei, Xubin Ren et al. profile →
Representation Learning with Large Language Models for Recommendation

2024 69 citations Xubin Ren, Wei Wei et al. The HKU Scholars Hub (University of Hong Kong) profile →
GraphGPT: Graph Instruction Tuning for Large Language Models

2024 57 citations Jiabin Tang, Yuhao Yang et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Suqi Cheng China	8	274	190	93	35	26	16	360
Jiaul H. Paik India	10	269 1.0×	153 0.8×	58 0.6×	25 0.7×	20 0.8×	27	346
Jian Xiong China	6	173 0.6×	151 0.8×	49 0.5×	40 1.1×	23 0.9×	12	247
Chenyi Lei China	9	175 0.6×	181 1.0×	103 1.1×	22 0.6×	28 1.1×	18	266
Lixin Su United States	6	173 0.6×	122 0.6×	50 0.5×	24 0.7×	9 0.3×	10	244
SeongKu Kang South Korea	9	231 0.8×	251 1.3×	73 0.8×	34 1.0×	75 2.9×	30	315
Fei Cai China	10	155 0.6×	184 1.0×	59 0.6×	42 1.2×	31 1.2×	18	288
Yukihiro Tagami Japan	5	309 1.1×	308 1.6×	110 1.2×	35 1.0×	38 1.5×	15	418
Zhiping Gu China	7	269 1.0×	379 2.0×	81 0.9×	49 1.4×	86 3.3×	9	413
Baoxing Huai China	12	265 1.0×	61 0.3×	85 0.9×	15 0.4×	48 1.8×	31	348
Sean Owen	3	121 0.4×	125 0.7×	38 0.4×	66 1.9×	26 1.0×	3	229

Countries citing papers authored by Suqi Cheng

Since Specialization

Citations

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

Fields of papers citing papers by Suqi Cheng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suqi Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Suqi Cheng. A scholar is included among the top collaborators of Suqi Cheng 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 Suqi Cheng. Suqi Cheng 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:

16 of 16 papers shown

1.

Sheng, Jiawei, et al.. (2025). Exploring Preference-Guided Diffusion Model for Cross-Domain Recommendation. 719–728. 1 indexed citations

2.

Su, Lixin, et al.. (2025). Agent4Ranking: Semantic Robust Ranking via Personalized Query Rewriting Using Multi-Agent LLMs. ACM Transactions on Information Systems. 43(6). 1–33.

3.

Wang, Shicheng, et al.. (2025). Towards S²-Challenges Underlying LLM-Based Augmentation for Personalized News Recommendation. Proceedings of the AAAI Conference on Artificial Intelligence. 39(12). 12739–12747.

4.

Wei, Wei, Xubin Ren, Jiabin Tang, et al.. (2024). LLMRec: Large Language Models with Graph Augmentation for Recommendation. 806–815. 87 indexed citations breakdown →

5.

Li, Qian, et al.. (2024). Text-Video Retrieval via Multi-Modal Hypergraph Networks. 369–377. 8 indexed citations

6.

Tang, Jiabin, Yuhao Yang, Wei Wei, et al.. (2024). GraphGPT: Graph Instruction Tuning for Large Language Models. 491–500. 57 indexed citations breakdown →

7.

Ren, Xubin, Wei Wei, Lianghao Xia, et al.. (2024). Representation Learning with Large Language Models for Recommendation. The HKU Scholars Hub (University of Hong Kong). 3464–3475. 69 indexed citations breakdown →

8.

Cheng, Suqi, et al.. (2023). Graph Enhanced BERT for Query Understanding. 3315–3319. 3 indexed citations

9.

Dong, Qian, Yiding Liu, Suqi Cheng, et al.. (2022). Incorporating Explicit Knowledge in Pre-trained Language Models for Passage Re-ranking. Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval. 1490–1501. 6 indexed citations

10.

Ye, Wenwen, Yiding Liu, Lixin Zou, et al.. (2022). Fast Semantic Matching via Flexible Contextualized Interaction. 1275–1283. 4 indexed citations

11.

Zou, Lixin, Hengyi Cai, Dehong Ma, et al.. (2021). Pre-trained Language Model based Ranking in Baidu Search. 4014–4022. 39 indexed citations

12.

Zou, Lixin, Yiding Liu, Wenwen Ye, et al.. (2021). Enhanced Doubly Robust Learning for Debiasing Post-Click Conversion Rate Estimation. arXiv (Cornell University). 275–284. 35 indexed citations

13.

Liu, Yiding, et al.. (2021). Pre-trained Language Model for Web-scale Retrieval in Baidu Search. 3365–3375. 35 indexed citations

14.

Cheng, Suqi, Huawei Shen, Junming Huang, Guoqing Zhang, & Xueqi Cheng. (2012). Static greedy: solving the apparent scalability-accuracy dilemma in influence maximization. arXiv (Cornell University). 1 indexed citations

15.

Zhang, Guoqiang, et al.. (2011). P2P traffic optimization. Science China Information Sciences. 55(7). 1475–1492. 10 indexed citations

16.

Zhang, Guoqiang, Guoqing Zhang, & Suqi Cheng. (2010). LANC: Locality-aware network coding for better P2P traffic localization. Computer Networks. 55(6). 1242–1256. 5 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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