Ju He

908 total citations · 1 hit paper
12 papers, 454 citations indexed

About

Ju He is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Ju He has authored 12 papers receiving a total of 454 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 3 papers in Molecular Biology. Recurrent topics in Ju He's work include Domain Adaptation and Few-Shot Learning (4 papers), Advanced Image and Video Retrieval Techniques (3 papers) and Advanced Neural Network Applications (3 papers). Ju He is often cited by papers focused on Domain Adaptation and Few-Shot Learning (4 papers), Advanced Image and Video Retrieval Techniques (3 papers) and Advanced Neural Network Applications (3 papers). Ju He collaborates with scholars based in United States, China and Germany. Ju He's co-authors include Adam Kortylewski, Changhu Wang, Jie-Neng Chen, Shuai Liu, Yutong Bai, Cheng Yang, Alan Yuille, Qing Liu, Lin Zhang and Longlong Jing and has published in prestigious journals such as Computers and Electronics in Agriculture, Computer Methods and Programs in Biomedicine and Artificial Intelligence in Medicine.

In The Last Decade

Ju He

11 papers receiving 442 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.

TransFG: A Transformer Architecture for Fine-Grained Recognition

2022 270 citations Ju He, Jie-Neng Chen et al. Proceedings of the AAAI Conference on Artificial Intelligence profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ju He United States	8	310	167	32	29	26	12	454
Ryota Yoshihashi Japan	9	220 0.7×	221 1.3×	28 0.9×	35 1.2×	78 3.0×	14	532
Wen Shao China	6	247 0.8×	211 1.3×	24 0.8×	84 2.9×	73 2.8×	10	507
Jiaming Guo China	15	233 0.8×	93 0.6×	44 1.4×	19 0.7×	20 0.8×	50	481
Wei Zhai China	14	382 1.2×	335 2.0×	15 0.5×	55 1.9×	36 1.4×	42	604
Yifei Chen China	10	126 0.4×	87 0.5×	16 0.5×	63 2.2×	61 2.3×	52	482
Miroslav Benčo Slovakia	14	292 0.9×	70 0.4×	39 1.2×	50 1.7×	45 1.7×	45	533
Baoyuan Liu United States	5	316 1.0×	196 1.2×	11 0.3×	20 0.7×	28 1.1×	11	454
Yang Mi China	8	188 0.6×	83 0.5×	21 0.7×	25 0.9×	6 0.2×	20	268
Hiromitsu Hama Japan	10	182 0.6×	52 0.3×	15 0.5×	13 0.4×	29 1.1×	63	284

Countries citing papers authored by Ju He

Since Specialization

Citations

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

Fields of papers citing papers by Ju He

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ju He

This figure shows the co-authorship network connecting the top 25 collaborators of Ju He. A scholar is included among the top collaborators of Ju 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 Ju He. Ju 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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12 of 12 papers shown

1.

Peng, Jiawei, et al.. (2024). Learning Part Segmentation from Synthetic Animals. 80–91.

2.

He, Ju, Adam Kortylewski, & Alan Yuille. (2023). CORL: Compositional Representation Learning for Few-Shot Classification. 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 3879–3888. 13 indexed citations

3.

He, Ju, et al.. (2023). Compositor: Bottom-Up Clustering and Compositing for Robust Part and Object Segmentation. 11259–11268. 1 indexed citations

4.

Jing, Longlong, Lin Zhang, Ju He, et al.. (2022). Learning from Temporal Gradient for Semi-supervised Action Recognition. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 3242–3252. 54 indexed citations

5.

He, Ju, Jie-Neng Chen, Shuai Liu, et al.. (2022). TransFG: A Transformer Architecture for Fine-Grained Recognition. Proceedings of the AAAI Conference on Artificial Intelligence. 36(1). 852–860. 270 indexed citations breakdown →

6.

Kortylewski, Adam, et al.. (2021). Compositional Generative Networks and Robustness to Perceptible Image Changes. 411. 1–8. 1 indexed citations

7.

He, Ju, et al.. (2021). Semi-synthesis: A fast way to produce effective datasets for stereo matching. 2878–2887. 7 indexed citations

8.

Kortylewski, Adam, Ju He, Qing Liu, & Alan Yuille. (2020). Compositional Convolutional Neural Networks: A Deep Architecture With Innate Robustness to Partial Occlusion. 8937–8946. 60 indexed citations

9.

He, Ju, et al.. (2019). Point Cloud Attribute Inpainting in Graph Spectral Domain. 92. 4385–4389. 9 indexed citations

10.

He, Ju, et al.. (2018). Analyzing hedyotis diffusa mechanisms of action from the genomics perspective. Computer Methods and Programs in Biomedicine. 174. 1–8. 8 indexed citations

11.

Lu, Mingzhou, Ju He, Chao Chen, et al.. (2018). An automatic ear base temperature extraction method for top view piglet thermal image. Computers and Electronics in Agriculture. 155. 339–347. 29 indexed citations

12.

He, Ju, et al.. (2011). Prediction of human major histocompatibility complex class II binding peptides by continuous kernel discrimination method. Artificial Intelligence in Medicine. 55(2). 107–115. 2 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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