Yingqian Min

1.8k total citations · 1 hit paper
4 papers, 220 citations indexed

About

Yingqian Min is a scholar working on Artificial Intelligence, Information Systems and Computer Science Applications. According to data from OpenAlex, Yingqian Min has authored 4 papers receiving a total of 220 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 1 paper in Information Systems and 1 paper in Computer Science Applications. Recurrent topics in Yingqian Min's work include Topic Modeling (2 papers), Recommender Systems and Techniques (1 paper) and Advanced Graph Neural Networks (1 paper). Yingqian Min is often cited by papers focused on Topic Modeling (2 papers), Recommender Systems and Techniques (1 paper) and Advanced Graph Neural Networks (1 paper). Yingqian Min collaborates with scholars based in China. Yingqian Min's co-authors include Kaiyuan Li, Xingyu Pan, Hui Wang, Shanlei Mu, Yujie Lu, Ji-Rong Wen, Yaliang Li, Wendi Ji, Changxin Tian and Zhichao Feng and has published in prestigious journals such as .

In The Last Decade

Yingqian Min

1 paper receiving 217 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.

RecBole: Towards a Unified, Comprehensive and Efficient Framework for Recommendation Algorithms

2021 220 citations Wayne Xin Zhao, Shanlei Mu et al. profile →

Peers

Countries citing papers authored by Yingqian Min

Since Specialization

Citations

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

Fields of papers citing papers by Yingqian Min

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yingqian Min

This figure shows the co-authorship network connecting the top 25 collaborators of Yingqian Min. A scholar is included among the top collaborators of Yingqian Min 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 Yingqian Min. Yingqian Min is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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4 of 4 papers shown

#	Work	Indexed citations
1	Smart-Searcher: Incentivizing the Dynamic Knowledge Acquisition of LLMs via Reinforcement Learning 2025 ·Hongmei Song, Jinhao Jiang, (unknown), Zhipeng Chen, (unknown), (unknown), Yingqian Min, Wayne Xin Zhao, Lei Fang, Ji-Rong Wen	0
2	Towards Effective and Efficient Continual Pre-training of Large Language Models 2025 ·Jie Chen, Zhipeng Chen, (unknown), Kun Zhou, (unknown), Jinhao Jiang, Yingqian Min, Xin Zhao, Zhicheng Dou, Jiaxin Mao, Yankai Lin, Ruihua Song, Jun Xu, Xu Chen, Rui Yan, Zhewei Wei, (unknown), Wenbing Huang, Ji-Rong Wen	0
3	DATA-CUBE: Data Curriculum for Instruction-based Sentence Representation Learning 2024 ·Yingqian Min, Kun Zhou, (unknown), Xin Zhao, (unknown), Yaliang Li	0
4	RecBole: Towards a Unified, Comprehensive and Efficient Framework for Recommendation Algorithms breakdown → 2021 ·Wayne Xin Zhao, Shanlei Mu, Yupeng Hou, Zihan Lin, Yushuo Chen, Xingyu Pan, Kaiyuan Li, Yujie Lu, Hui Wang, Changxin Tian, Yingqian Min, Zhichao Feng, Xinyan Fan, Xu Chen, Pengfei Wang, Wendi Ji, Yaliang Li, Xiaoling Wang, Ji-Rong Wen	220

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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