Ruifan Li

4.3k total citations · 2 hit papers
61 papers, 1.4k citations indexed

About

Ruifan Li is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Ruifan Li has authored 61 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Computer Vision and Pattern Recognition, 25 papers in Artificial Intelligence and 8 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Ruifan Li's work include Multimodal Machine Learning Applications (15 papers), Advanced Image and Video Retrieval Techniques (12 papers) and Image Retrieval and Classification Techniques (10 papers). Ruifan Li is often cited by papers focused on Multimodal Machine Learning Applications (15 papers), Advanced Image and Video Retrieval Techniques (12 papers) and Image Retrieval and Classification Techniques (10 papers). Ruifan Li collaborates with scholars based in China, United States and Pakistan. Ruifan Li's co-authors include Xiaojie Wang, Fangxiang Feng, Zhanyu Ma, Eduard Hovy, Hao Chen, Guangwei Zhang, Hao Chen, Peng Lu, Xujun Peng and Shuang Li and has published in prestigious journals such as Advanced Materials, Acta Materialia and Journal of Cleaner Production.

In The Last Decade

Ruifan Li

57 papers receiving 1.4k citations

Hit Papers

Cross-modal Retrieval with Correspondence Autoencoder 2014 2026 2018 2022 2014 2021 100 200 300 400
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.

  1. Cross-modal Retrieval with Correspondence Autoencoder
    2014 411 citations Fangxiang Feng, Xiaojie Wang et al. profile →
  2. Dual Graph Convolutional Networks for Aspect-based Sentiment Analysis
    2021 219 citations Ruifan Li, Hao Chen et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ruifan Li China 18 715 664 123 68 65 61 1.4k
Abhinav Gupta India 16 1.1k 1.6× 466 0.7× 90 0.7× 54 0.8× 48 0.7× 73 1.4k
Li Yao China 12 805 1.1× 214 0.3× 64 0.5× 57 0.8× 27 0.4× 79 1.1k
Zhen Chen China 17 317 0.4× 307 0.5× 86 0.7× 58 0.9× 17 0.3× 85 860
Anirban Chakraborty India 14 412 0.6× 377 0.6× 47 0.4× 26 0.4× 24 0.4× 66 822
Weiping Wang China 24 1.1k 1.5× 846 1.3× 61 0.5× 92 1.4× 129 2.0× 142 1.8k
Xianquan Zhang China 29 2.1k 2.9× 228 0.3× 57 0.5× 155 2.3× 57 0.9× 115 2.5k
Shanshan Huang China 17 191 0.3× 165 0.2× 84 0.7× 47 0.7× 85 1.3× 60 678
Bowen Liu China 15 402 0.6× 186 0.3× 53 0.4× 34 0.5× 113 1.7× 132 1.1k
Weihao Lin China 19 526 0.7× 391 0.6× 54 0.4× 18 0.3× 98 1.5× 94 1.3k
Masayuki Karasuyama Japan 15 222 0.3× 277 0.4× 35 0.3× 45 0.7× 33 0.5× 58 730

Countries citing papers authored by Ruifan Li

Since Specialization
Citations

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

Fields of papers citing papers by Ruifan Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruifan Li

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

All Works

20 of 20 papers shown
1.
2.
Li, Xiang, et al.. (2025). Actively masked reasoning over knowledge graphs for fault diagnosis under insufficient information condition. Expert Systems with Applications. 295. 128854–128854. 1 indexed citations
3.
Li, Zhen‐Ze, Hongwei Zhou, Ruifan Li, et al.. (2025). Optical Self‐Assembly of Chiral Nanostructures by a Seed Symmetry‐Breaking Effect. Laser & Photonics Review. 19(11). 1 indexed citations
4.
Feng, Fangxiang, et al.. (2025). Concept Conductor: Orchestrating Multiple Personalized Concepts in Text-to-Image Synthesis. Proceedings of the AAAI Conference on Artificial Intelligence. 39(9). 9427–9435. 1 indexed citations
5.
6.
Song, Shijie, Yun Liu, Zhenyu Liu, et al.. (2024). Near‐Field‐Regulated Ultrafast Laser Supra‐Wavelength Structuring Directly on Ultrahard Metallic Glasses. Advanced Materials. 36(45). e2405766–e2405766. 8 indexed citations
7.
Ren, Min & Ruifan Li. (2023). Rare earth element signatures of Doushantuo cap dolostones capture an increase in oxygen in the anoxic Ediacaran ocean. Sedimentary Geology. 446. 106343–106343. 6 indexed citations
8.
Li, Ruifan, et al.. (2023). USSA: A Unified Table Filling Scheme for Structured Sentiment Analysis. 14340–14353. 2 indexed citations
9.
10.
Li, Ruifan, et al.. (2022). KE-GCL: Knowledge Enhanced Graph Contrastive Learning for Commonsense Question Answering. 76–87. 2 indexed citations
11.
Chen, Hao, et al.. (2022). Enhanced Multi-Channel Graph Convolutional Network for Aspect Sentiment Triplet Extraction. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2974–2985. 86 indexed citations
12.
Li, Ruifan, et al.. (2022). Multimodal Co-Attention Mechanism for One-stage Visual Grounding. 288–292. 1 indexed citations
13.
Xin, Tuantuan, Cheng Xu, Ruifan Li, Zi‐Ming Feng, & Yongping Yang. (2022). An advanced coal-based zero-emission polygeneration system using water-gas shift reaction and syngas recycle to achieve different methanol and electricity distributions. Journal of Cleaner Production. 364. 132649–132649. 20 indexed citations
14.
Li, Ruifan, Hao Chen, Fangxiang Feng, et al.. (2021). Dual Graph Convolutional Networks for Aspect-based Sentiment Analysis. 6319–6329. 219 indexed citations breakdown →
15.
Li, Ruifan, et al.. (2017). Improving deep convolutional neural networks for real-world clothing image. 521. 837–843. 2 indexed citations
16.
Wang, Xiaojie, et al.. (2017). Line and Ligature Segmentation of Urdu Nastaleeq Text. IEEE Access. 5. 10924–10940. 22 indexed citations
17.
Yuan, Ding, Yanquan Zhou, Ruifan Li, & Peng Lu. (2014). Sentiment analysis of microblog combining dictionary and rules. 785–789. 1 indexed citations
18.
Li, Ruifan. (2013). Improved prediction model of interval grey number based on the characteristics of grey degree of compound grey number. Systems engineering and electronics. 2 indexed citations
19.
Li, Jian, et al.. (2013). Security analysis of the “Ping–Pong” quantum communication protocol in the presence of collective-rotation noise. Physics Letters A. 377(39). 2729–2734. 7 indexed citations
20.
Li, Jian, et al.. (2012). Improved Security Detection Strategy in Quantum Secure Direct Communication Protocol Based on Four-Particle Green–Horne– Zeilinger State. Zeitschrift für Naturforschung A. 67(6-7). 369–376. 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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