Junnan Li

1.9k total citations
44 papers, 839 citations indexed

About

Junnan Li is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Aerospace Engineering. According to data from OpenAlex, Junnan Li has authored 44 papers receiving a total of 839 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 20 papers in Computer Vision and Pattern Recognition and 6 papers in Aerospace Engineering. Recurrent topics in Junnan Li's work include Machine Learning and Data Classification (13 papers), Face and Expression Recognition (7 papers) and Text and Document Classification Technologies (7 papers). Junnan Li is often cited by papers focused on Machine Learning and Data Classification (13 papers), Face and Expression Recognition (7 papers) and Text and Document Classification Technologies (7 papers). Junnan Li collaborates with scholars based in China, United States and Japan. Junnan Li's co-authors include Qingsheng Zhu, Quanwang Wu, Haibin Duan, Edmund Y. Lam, Dong Luo, Zengping Zhang, Yanchao Yue, M. K. Abdelsalam, Fan Zhu and Dongdong Cheng and has published in prestigious journals such as Construction and Building Materials, International Journal of Hydrogen Energy and IEEE Access.

In The Last Decade

Junnan Li

40 papers receiving 818 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Junnan Li China 15 412 212 164 102 77 44 839
Yixin Chen China 14 370 0.9× 151 0.7× 103 0.6× 87 0.9× 159 2.1× 77 918
Weitao Li China 19 142 0.3× 129 0.6× 90 0.5× 256 2.5× 316 4.1× 105 1.0k
Zirui Li China 21 289 0.7× 237 1.1× 74 0.5× 138 1.4× 271 3.5× 104 1.1k
Meina Qiao China 8 235 0.6× 317 1.5× 77 0.5× 56 0.5× 49 0.6× 12 680
Xiangdong Zhou China 21 419 1.0× 857 4.0× 28 0.2× 85 0.8× 253 3.3× 100 1.5k
Jianchun Xing China 16 101 0.2× 88 0.4× 110 0.7× 197 1.9× 186 2.4× 76 679
Belgacem Bouallègue Saudi Arabia 19 292 0.7× 280 1.3× 23 0.1× 109 1.1× 30 0.4× 97 908
Md. Jakir Hossen Malaysia 14 123 0.3× 109 0.5× 18 0.1× 139 1.4× 48 0.6× 105 580

Countries citing papers authored by Junnan Li

Since Specialization
Citations

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

Fields of papers citing papers by Junnan Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junnan Li

This figure shows the co-authorship network connecting the top 25 collaborators of Junnan Li. A scholar is included among the top collaborators of Junnan 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 Junnan Li. Junnan 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.
Li, Junnan, Wei Zhang, & Qi Dai. (2025). scDGG: Dynamic gene graphs for enhancing clustering analysis of single-cell RNA sequencing data via spatiotemporal representations. Computational Biology and Chemistry. 118. 108483–108483.
2.
3.
Li, Junnan. (2024). A self-training method based on fast binary bare-bones particle swarm optimization for semi-supervised classification. Engineering Applications of Artificial Intelligence. 136. 108546–108546. 5 indexed citations
4.
Li, Junnan, et al.. (2024). BPSO-SLM: a binary particle swarm optimization-based self-labeled method for semi-supervised classification. International Journal of Machine Learning and Cybernetics. 15(8). 3255–3277. 3 indexed citations
5.
Yu, Ning, Shu Zhang, Junnan Li, et al.. (2024). ULIP-2: Towards Scalable Multimodal Pre-Training for 3D Understanding. 27081–27091. 32 indexed citations
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Wang, Bin, et al.. (2024). Adaptive design and implementation of automatic modulation recognition accelerator. Journal of Ambient Intelligence and Humanized Computing. 15(1). 779–795. 1 indexed citations
8.
Li, Junnan, et al.. (2023). Dynamic analyses of long-span cable-stayed and suspension cooperative system bridge under combined actions of wind and regular wave loads. Applied Ocean Research. 138. 103683–103683. 7 indexed citations
9.
Li, Dongxu, Junnan Li, Hung Lê, et al.. (2023). LAVIS: A One-stop Library for Language-Vision Intelligence. 31–41. 26 indexed citations
10.
Li, Junnan & Tingting Li. (2023). A sample subspace optimization-based framework for addressing mislabeling in self-labeled semi-supervised classification. Applied Soft Computing. 146. 110687–110687. 3 indexed citations
11.
12.
Li, Junnan, et al.. (2023). Dependency-aware task offloading based on deep reinforcement learning in mobile edge computing networks. Wireless Networks. 30(6). 5519–5531. 9 indexed citations
13.
Li, Junnan. (2022). NaNG-ST: A natural neighborhood graph-based self-training method for semi-supervised classification. Neurocomputing. 514. 268–284. 10 indexed citations
14.
Li, Junnan, Caiming Xiong, & Steven C. H. Hoi. (2021). MoPro: Webly Supervised Learning with Momentum Prototypes. International Conference on Learning Representations. 5 indexed citations
15.
Liu, Junjie, et al.. (2021). Nonintrusive Industrial Load Identification Combined with Random Forests and Steady-State Waveform. Journal of Electrical and Computer Engineering. 2021. 1–9. 2 indexed citations
16.
Li, Junnan, et al.. (2019). A general AI-defined attention network for predicting CDN performance. Future Generation Computer Systems. 100. 759–769. 8 indexed citations
17.
Li, Junnan, et al.. (2019). Semi-Supervised Self-Training Method Based on an Optimum-Path Forest. IEEE Access. 7. 36388–36399. 31 indexed citations
18.
Li, Tao, et al.. (2019). Memory Optimization for Bit-Vector-Based Packet Classification on FPGA. Electronics. 8(10). 1159–1159. 13 indexed citations
19.
20.
Li, Junnan & Haibin Duan. (2014). Novel biological visual attention mechanism via Gaussian harmony search. Optik. 125(10). 2313–2319. 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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