Jiajun Li

1.6k total citations
79 papers, 1.0k citations indexed

About

Jiajun Li is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Jiajun Li has authored 79 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Electrical and Electronic Engineering, 27 papers in Computer Vision and Pattern Recognition and 19 papers in Artificial Intelligence. Recurrent topics in Jiajun Li's work include Advanced Neural Network Applications (16 papers), Advanced Memory and Neural Computing (10 papers) and Marine and coastal ecosystems (9 papers). Jiajun Li is often cited by papers focused on Advanced Neural Network Applications (16 papers), Advanced Memory and Neural Computing (10 papers) and Marine and coastal ecosystems (9 papers). Jiajun Li collaborates with scholars based in China, United States and Australia. Jiajun Li's co-authors include Xiaowei Li, Shijun Gong, Wenyan Lü, Yinhe Han, Guihai Yan, Ahmed Louri, Avinash Karanth, Xin Jiang, Yehui Tan and Răzvan Bunescu and has published in prestigious journals such as Journal of the American Chemical Society, The Science of The Total Environment and IEEE Transactions on Image Processing.

In The Last Decade

Jiajun Li

66 papers receiving 989 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jiajun Li China 16 399 388 243 145 138 79 1.0k
Hongwei Qin China 12 734 1.8× 142 0.4× 147 0.6× 24 0.2× 16 0.1× 41 1.3k
Eojin Lee South Korea 14 75 0.2× 275 0.7× 234 1.0× 46 0.3× 263 1.9× 32 672
Xinxin Liu China 18 296 0.7× 145 0.4× 75 0.3× 12 0.1× 12 0.1× 123 1.2k
Shuang Song United States 15 221 0.6× 85 0.2× 449 1.8× 7 0.0× 81 0.6× 50 1.2k
Tarek El‐Ghazawi United States 19 163 0.4× 181 0.5× 285 1.2× 16 0.1× 474 3.4× 61 1.4k
Huifang Chen China 20 115 0.3× 521 1.3× 169 0.7× 85 0.6× 7 0.1× 154 1.4k
Yunfei Du China 13 52 0.1× 32 0.1× 69 0.3× 59 0.4× 126 0.9× 70 588
Tong Jian China 17 132 0.3× 322 0.8× 455 1.9× 5 0.0× 22 0.2× 55 1.1k
Chengyong Wu China 18 924 2.3× 1.1k 2.9× 602 2.5× 6 0.0× 765 5.5× 52 2.5k

Countries citing papers authored by Jiajun Li

Since Specialization
Citations

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

Fields of papers citing papers by Jiajun Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiajun Li

This figure shows the co-authorship network connecting the top 25 collaborators of Jiajun Li. A scholar is included among the top collaborators of Jiajun 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 Jiajun Li. Jiajun 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.
Ding, Hao, Tiantian Mao, Jiajun Li, et al.. (2025). SITA: Predicting site-specific immunogenicity for therapeutic antibodies. Journal of Pharmaceutical Analysis. 15(6). 101316–101316. 2 indexed citations
2.
Li, Jiajun, et al.. (2025). Engineering the structure and surface of Al2O3 microspheres for efficient tetracycline removal from water. Applied Surface Science. 721. 165500–165500.
3.
5.
Li, Jiajun, et al.. (2025). Characteristics of microbial communities and nitrogen cycling in large and small estuaries. Marine Environmental Research. 210. 107283–107283. 1 indexed citations
6.
Li, Jiajun, et al.. (2024). Flooding promotes the coalescence of microbial community in estuarine habitats. Marine Environmental Research. 202. 106735–106735. 2 indexed citations
7.
Li, Jiajun, et al.. (2024). SEHRNet: A lightweight, high‐resolution network for aircraft keypoint detection. IET Image Processing. 18(9). 2476–2489.
8.
Li, Jiajun, Gengrui Zhao, Honggang Wang, et al.. (2024). Molybdenum Disilicide (MoSi 2 ) and Ferrophosphorus Particles (FemPn) Improve the Anti-Seizure Properties of Copper-Tin-Bismuth Composites under Conformal and Nonconformal Contacts. Tribology Transactions. 67(4). 715–729. 1 indexed citations
9.
Li, Jiajun, et al.. (2023). Analysis on the Allocation of Control Right of Intergenerational Inheritance of Family Enterprises in the New Era. International Journal of Data Warehousing and Mining. 19(4). 1–20. 4 indexed citations
10.
Li, Jiajun, et al.. (2023). MicroRNA-126 regulates macrophage polarization to prevent the resorption of alveolar bone in diabetic periodontitis. Archives of Oral Biology. 150. 105686–105686. 7 indexed citations
11.
Li, Jiajun, et al.. (2023). GShuttle: Optimizing Memory Access Efficiency for Graph Convolutional Neural Network Accelerators. Journal of Computer Science and Technology. 38(1). 115–127. 2 indexed citations
12.
Yang, Fazhi, Xingyu Wang, Jiajun Li, et al.. (2023). Surface superconductivity emerged from disordered surface in undoped BaFe2As2. Physical Review Materials. 7(3). 3 indexed citations
13.
Li, Jiajun, Ahmed Louri, Avinash Karanth, & Răzvan Bunescu. (2021). GCNAX: A Flexible and Energy-efficient Accelerator for Graph Convolutional Neural Networks. 775–788. 95 indexed citations
14.
Li, Chunxiao, et al.. (2021). Application of ultrasonic dual-mode artificially intelligent architecture in assisting radiologists with different diagnostic levels on breast masses classification. Diagnostic and Interventional Radiology. 27(3). 315–322. 10 indexed citations
15.
Li, Jiajun, et al.. (2019). SqueezeFlow: A Sparse CNN Accelerator Exploiting Concise Convolution Rules. IEEE Transactions on Computers. 68(11). 1663–1677. 35 indexed citations
16.
Li, Jiajun, Zuozhi Chen, Zhiyou Jing, et al.. (2019). Synechococcus bloom in the Pearl River Estuary and adjacent coastal area–With special focus on flooding during wet seasons. The Science of The Total Environment. 692. 769–783. 35 indexed citations
17.
Lü, Wenyan, Guihai Yan, Jiajun Li, et al.. (2018). Promoting the Harmony between Sparsity and Regularity: A Relaxed Synchronous Architecture for Convolutional Neural Networks. IEEE Transactions on Computers. 68(6). 867–881. 4 indexed citations
18.
Shi, Cong, Jiajun Li, Ying Wang, & Gang Luo. (2018). Exploiting Lightweight Statistical Learning for Event-Based Vision Processing. IEEE Access. 6. 19396–19406. 9 indexed citations
19.
Li, Jiajun, Xin Jiang, Zhiyou Jing, et al.. (2017). Spatial and seasonal distributions of bacterioplankton in the Pearl River Estuary: The combined effects of riverine inputs, temperature, and phytoplankton. Marine Pollution Bulletin. 125(1-2). 199–207. 55 indexed citations
20.
Liu, Jiaxing, Zeng-Hui Diao, Xin Jiang, et al.. (2017). Subsurface low dissolved oxygen occurred at fresh- and saline-water intersection of the Pearl River estuary during the summer period. Marine Pollution Bulletin. 126. 585–591. 32 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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