Jianjun He

645 total citations
34 papers, 470 citations indexed

About

Jianjun He is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Jianjun He has authored 34 papers receiving a total of 470 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 12 papers in Artificial Intelligence and 6 papers in Molecular Biology. Recurrent topics in Jianjun He's work include Machine Learning in Bioinformatics (6 papers), Video Surveillance and Tracking Methods (5 papers) and Genomics and Phylogenetic Studies (4 papers). Jianjun He is often cited by papers focused on Machine Learning in Bioinformatics (6 papers), Video Surveillance and Tracking Methods (5 papers) and Genomics and Phylogenetic Studies (4 papers). Jianjun He collaborates with scholars based in China, Australia and United States. Jianjun He's co-authors include Zhe Ju, Hong Gu, Zhelong Wang, Wenqi Liu, Yu Zhou, Meng Yan, Ling Xu, Yan Lei, Xin Xia and Hong Shang and has published in prestigious journals such as PLoS ONE, Analytical Biochemistry and Information Sciences.

In The Last Decade

Jianjun He

31 papers receiving 461 citations

Peers

Jianjun He

MB

AI

CVPR

IS

CSE

José M. Chaves-González Spain

Qiang Zhu China

Swati Vipsita India

Raluca Lefticaru Romania

Hans Georg Schaathun Norway

Dheeb Albashish Jordan

Lucija Brezočnik Slovenia

Shenkai Gu United Kingdom

Jamal Uddin Pakistan

Yupeng Chen China

José M. Chaves-González Spain

Jianjun He

81 ×0.4

MB

140 ×1.1

AI

111 ×1.1

CVPR

73 ×1.2

IS

11 ×0.2

CSE

Citations per year, relative to Jianjun He Jianjun He (= 1×) peers José M. Chaves-González

Countries citing papers authored by Jianjun He

Since Specialization

Citations

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

Fields of papers citing papers by Jianjun He

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jianjun He

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

All Works

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20 of 20 papers shown

1.

Ubul, Kurban, et al.. (2024). Survey on text analysis and recognition for multiethnic scripts. Journal of Image and Graphics. 29(6). 1685–1713.

2.

Feng, Zixin, et al.. (2023). Kernel Geometric Mean Metric Learning. Applied Sciences. 13(21). 12047–12047.

3.

Zhou, Yu, et al.. (2023). A Large-Class Few-Shot Learning Method Based on High-Dimensional Features. Applied Sciences. 13(23). 12843–12843. 1 indexed citations

4.

He, Jianjun, et al.. (2022). Helmet Wearing Detection Algorithm Based on Improved YOLOX. 316–321. 4 indexed citations

5.

Wang, Fasheng, et al.. (2021). AMTSet: a benchmark for abrupt motion tracking. Multimedia Tools and Applications. 81(4). 4711–4734. 1 indexed citations

6.

Wang, Yanbo, Fasheng Wang, Jianjun He, & Fuming Sun. (2020). Iterative Truncated Unscented Particle Filter. Information. 11(4). 214–214. 2 indexed citations

7.

Wang, Fasheng, et al.. (2020). Visual object tracking via iterative ant particle filtering. IET Image Processing. 14(8). 1636–1644. 4 indexed citations

8.

Ju, Zhe & Jianjun He. (2018). Prediction of lysine glutarylation sites by maximum relevance minimum redundancy feature selection. Analytical Biochemistry. 550. 1–7. 31 indexed citations

9.

Li, Min, et al.. (2018). Segmentation-Free Multi-Font Printed Manchu Word Recognition Using Deep Convolutional Features and Data Augmentation. 1–6. 5 indexed citations

10.

Ju, Zhe & Jianjun He. (2017). Prediction of lysine propionylation sites using biased SVM and incorporating four different sequence features into Chou’s PseAAC. Journal of Molecular Graphics and Modelling. 76. 356–363. 64 indexed citations

11.

Ju, Zhe & Jianjun He. (2017). Prediction of lysine crotonylation sites by incorporating the composition of k-spaced amino acid pairs into Chou’s general PseAAC. Journal of Molecular Graphics and Modelling. 77. 200–204. 81 indexed citations

12.

Guo, Liangdong, Xiqin He, & Jianjun He. (2016). New delay-decomposing approaches to stability criteria for delayed neural networks. Neurocomputing. 189. 123–129. 7 indexed citations

13.

Bo, Chunjuan, Junxing Zhang, Jianjun He, & Yuli Han. (2015). Online object tracking via bounded error distance. Neurocomputing. 171. 1175–1184. 2 indexed citations

14.

Liu, Wenqi, et al.. (2013). Identifying the singleplex and multiplex proteins based on transductive learning for protein subcellular localization prediction. Biotechnology Letters. 35(7). 1107–1113. 1 indexed citations

15.

Liu, Wenqi, et al.. (2013). Mining Proteins with Non-Experimental Annotations Based on an Active Sample Selection Strategy for Predicting Protein Subcellular Localization. PLoS ONE. 8(6). e67343–e67343. 2 indexed citations

16.

He, Jianjun, Hong Gu, & Wenqi Liu. (2012). Imbalanced Multi-Modal Multi-Label Learning for Subcellular Localization Prediction of Human Proteins with Both Single and Multiple Sites. PLoS ONE. 7(6). e37155–e37155. 53 indexed citations

17.

He, Jianjun, Hong Gu, & Zhelong Wang. (2012). Bayesian multi-instance multi-label learning using Gaussian process prior. Machine Learning. 88(1-2). 273–295. 15 indexed citations

18.

He, Jianjun, et al.. (2011). Twin Gaussian Processes for Binary Classification. 28. 1074–1079. 4 indexed citations

19.

Wang, Zhelong, Jianjun He, & Hong Gu. (2010). Forward Kinematics Analysis of a Six-Degree-of-Freedom Stewart Platform Based on Independent Component Analysis and Nelder–Mead Algorithm. IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans. 41(3). 589–597. 14 indexed citations

20.

He, Jianjun, et al.. (1999). A new real-time algorithm of wavelet transform for detection of sudden-changing signals of power systems. Science in China. Series E, Technological sciences. 42(6). 609–615. 3 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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