Yanru Qu

2.9k total citations · 2 hit papers
16 papers, 1.2k citations indexed

About

Yanru Qu is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yanru Qu has authored 16 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 8 papers in Information Systems and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yanru Qu's work include Recommender Systems and Techniques (7 papers), Topic Modeling (6 papers) and Natural Language Processing Techniques (4 papers). Yanru Qu is often cited by papers focused on Recommender Systems and Techniques (7 papers), Topic Modeling (6 papers) and Natural Language Processing Techniques (4 papers). Yanru Qu collaborates with scholars based in China, United States and United Kingdom. Yanru Qu's co-authors include Weinan Zhang, Yong Yu, Jian Shen, Ying Wen, Han Cai, Jun Wang, Kan Ren, Ruiming Tang, Xiuqiang He and Minzhe Niu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nanoscale and ACM Transactions on Information Systems.

In The Last Decade

Yanru Qu

15 papers receiving 1.2k 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.

Wasserstein Distance Guided Representation Learning for Domain Adaptation

2018 484 citations Jian Shen, Yanru Qu et al. Proceedings of the AAAI Conference on Artificial Intelligence profile →
Product-Based Neural Networks for User Response Prediction

2016 392 citations Yanru Qu, Han Cai et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yanru Qu China	11	777	474	473	98	87	16	1.2k
Huifeng Guo China	20	753 1.0×	310 0.7×	875 1.8×	98 1.0×	141 1.6×	78	1.3k
Weili Guan China	23	664 0.9×	925 2.0×	182 0.4×	54 0.6×	58 0.7×	88	1.5k
Jilian Zhang China	17	794 1.0×	333 0.7×	268 0.6×	39 0.4×	110 1.3×	42	1.2k
Xinyang Yi United States	11	788 1.0×	357 0.8×	775 1.6×	79 0.8×	109 1.3×	18	1.3k
Gang Fu China	15	405 0.5×	533 1.1×	463 1.0×	57 0.6×	127 1.5×	64	1.2k
Xiaoxuan Shen China	12	495 0.6×	247 0.5×	456 1.0×	41 0.4×	69 0.8×	38	915
Li Dong China	18	2.3k 3.0×	643 1.4×	366 0.8×	74 0.8×	66 0.8×	63	2.8k
Hyunwoo J. Kim South Korea	16	575 0.7×	469 1.0×	110 0.2×	35 0.4×	54 0.6×	56	1.2k
Wei Jin United States	17	1.1k 1.4×	226 0.5×	253 0.5×	83 0.8×	122 1.4×	56	1.7k
Donghai Guan China	19	523 0.7×	389 0.8×	236 0.5×	68 0.7×	220 2.5×	87	1.1k

Countries citing papers authored by Yanru Qu

Since Specialization

Citations

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

Fields of papers citing papers by Yanru Qu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yanru Qu

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

Fang, Fan, et al.. (2026). Flow matching meets biology and life science: a survey. SHILAP Revista de lepidopterología. 2(1).

2.

Lin, Jianghao, Bo Chen, Yanru Qu, et al.. (2024). ClickPrompt: CTR Models are Strong Prompt Generators for Adapting Language Models to CTR Prediction. 3319–3330. 10 indexed citations

3.

Lin, Jianghao, Yanru Qu, Wei Guo, et al.. (2023). MAP: A Model-agnostic Pretraining Framework for Click-through Rate Prediction. 1384–1395. 14 indexed citations

4.

Qu, Yanru, et al.. (2021). CoDA: Contrast-enhanced and Diversity-promoting Data Augmentation for Natural Language Understanding. 12 indexed citations

5.

Wen, Haoyang, Yanru Qu, Heng Ji, et al.. (2021). Event Time Extraction and Propagation via Graph Attention Networks. 62–73. 8 indexed citations

6.

Li, Jianbo, Yanru Qu, Chun‐Yuan Chen, Xin Zhang, & Mingfei Shao. (2020). Theoretical investigation on lithium polysulfide adsorption and conversion for high-performance Li–S batteries. Nanoscale. 13(1). 15–35. 54 indexed citations

7.

Mao, Yuning, et al.. (2020). Multi-document Summarization with Maximal Marginal Relevance-guided Reinforcement Learning. 1737–1751. 26 indexed citations

8.

Qu, Yanru, Ting Bai, Weinan Zhang, Jian‐Yun Nie, & Jian Tang. (2019). An end-to-end neighborhood-based interaction model for knowledge-enhanced recommendation. 1–9. 41 indexed citations

9.

Qu, Yanru, Jian Shen, Weinan Zhang, et al.. (2018). Label-Aware Double Transfer Learning for Cross-Specialty Medical Named Entity Recognition. 1–15. 52 indexed citations

10.

Niu, Minzhe, Ruiming Tang, Yanru Qu, et al.. (2018). Collaborative Filtering with Graph-based Implicit Feedback. 296–303. 2 indexed citations

11.

Shen, Jian, Yanru Qu, Weinan Zhang, & Yong Yu. (2018). Wasserstein Distance Guided Representation Learning for Domain Adaptation. Proceedings of the AAAI Conference on Artificial Intelligence. 32(1). 484 indexed citations breakdown →

12.

Qu, Yanru, Weinan Zhang, Ruiming Tang, et al.. (2018). Product-Based Neural Networks for User Response Prediction over Multi-Field Categorical Data. ACM Transactions on Information Systems. 37(1). 1–35. 129 indexed citations

13.

Shen, Jian, Yanru Qu, Weinan Zhang, & Yong Yu. (2017). Adversarial Representation Learning for Domain Adaptation.. arXiv (Cornell University). 14 indexed citations

14.

Niu, Minzhe, Yanru Qu, Xuezhi Cao, et al.. (2017). Collaborative Filtering with Graph-Based Implicit Feedback. 2. 328–335. 2 indexed citations

15.

Qu, Yanru, Han Cai, Kan Ren, et al.. (2016). Product-Based Neural Networks for User Response Prediction. 1149–1154. 392 indexed citations breakdown →

16.

Wang, Lang, Jian Cao, & Yanru Qu. (2015). A Prediction Based Capacity Planning Strategy for Virtual Servers. 46–52. 1 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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