Jihan Yang

1.4k total citations · 1 hit paper
13 papers, 747 citations indexed

About

Jihan Yang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Jihan Yang has authored 13 papers receiving a total of 747 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 8 papers in Artificial Intelligence and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Jihan Yang's work include Domain Adaptation and Few-Shot Learning (7 papers), Multimodal Machine Learning Applications (5 papers) and Advanced Neural Network Applications (5 papers). Jihan Yang is often cited by papers focused on Domain Adaptation and Few-Shot Learning (7 papers), Multimodal Machine Learning Applications (5 papers) and Advanced Neural Network Applications (5 papers). Jihan Yang collaborates with scholars based in Hong Kong, China and United Kingdom. Jihan Yang's co-authors include Liang Lin, Guanbin Li, Ruijia Xu, Xiaojuan Qi, Ruifei He, Shaoshuai Shi, Hongsheng Li, Zhe Wang, Song Bai and Chuhui Xue and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

In The Last Decade

Jihan Yang

12 papers receiving 739 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.

Larger Norm More Transferable: An Adaptive Feature Norm Approach for Unsupervised Domain Adaptation

2019 323 citations Ruijia Xu, Guanbin Li et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jihan Yang Hong Kong	9	529	491	76	68	55	13	747
Spyros Gidaris France	6	516 1.0×	561 1.1×	120 1.6×	48 0.7×	38 0.7×	13	819
Zhiwu Lu China	15	626 1.2×	358 0.7×	46 0.6×	193 2.8×	17 0.3×	30	839
Ruihuang Li Hong Kong	12	613 1.2×	307 0.6×	37 0.5×	79 1.2×	17 0.3×	16	777
Zak Murez United States	7	484 0.9×	219 0.4×	59 0.8×	67 1.0×	27 0.5×	8	600
Umberto Michieli Italy	13	552 1.0×	559 1.1×	146 1.9×	20 0.3×	13 0.2×	32	778
Yang Zou China	8	464 0.9×	446 0.9×	101 1.3×	14 0.2×	33 0.6×	17	647
Lukas Hoyer Switzerland	6	451 0.9×	409 0.8×	68 0.9×	22 0.3×	18 0.3×	12	630
Aming Wu China	14	526 1.0×	427 0.9×	61 0.8×	50 0.7×	14 0.3×	32	694
Taekyung Kim South Korea	7	824 1.6×	445 0.9×	98 1.3×	64 0.9×	12 0.2×	23	966

Countries citing papers authored by Jihan Yang

Since Specialization

Citations

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

Fields of papers citing papers by Jihan Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jihan Yang

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

All Works

Sort: Min cites: Since: Top N: Style:

13 of 13 papers shown

1.

Yang, Jihan, et al.. (2025). Thinking in Space: How Multimodal Large Language Models See, Remember, and Recall Spaces. 10632–10643. 5 indexed citations

2.

Yang, Jihan, et al.. (2024). Lowis3D: Language-Driven Open-World Instance-Level 3D Scene Understanding. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(12). 8517–8533. 7 indexed citations

3.

Yang, Jihan, et al.. (2024). RegionPLC: Regional Point-Language Contrastive Learning for Open-World 3D Scene Understanding. 19823–19832. 15 indexed citations

4.

Fergus, Rob, Yann LeCun, Austin Wang, et al.. (2024). Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs. 87310–87356.

5.

Yang, Jihan, et al.. (2023). PLA: Language-Driven Open-Vocabulary 3D Scene Understanding. 7010–7019. 44 indexed citations

6.

Yang, Jihan, Shaoshuai Shi, Zhe Wang, Hongsheng Li, & Xiaojuan Qi. (2022). ST3D++: Denoised Self-Training for Unsupervised Domain Adaptation on 3D Object Detection. IEEE Transactions on Pattern Analysis and Machine Intelligence. 1–17. 37 indexed citations

7.

He, Ruifei, Shuyang Sun, Jihan Yang, Song Bai, & Xiaojuan Qi. (2022). Knowledge Distillation as Efficient Pre-training: Faster Convergence, Higher Data-efficiency, and Better Transferability. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 9151–9161. 24 indexed citations

8.

Yang, Jihan, Shaoshuai Shi, Zhe Wang, Hongsheng Li, & Xiaojuan Qi. (2021). ST3D: Self-training for Unsupervised Domain Adaptation on 3D Object Detection. 10363–10373. 129 indexed citations

9.

He, Ruifei, Jihan Yang, & Xiaojuan Qi. (2021). Re-distributing Biased Pseudo Labels for Semi-supervised Semantic Segmentation: A Baseline Investigation. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 6910–6920. 92 indexed citations

10.

Yang, Jihan, Ruijia Xu, Ruiyu Li, et al.. (2020). An Adversarial Perturbation Oriented Domain Adaptation Approach for Semantic Segmentation. Proceedings of the AAAI Conference on Artificial Intelligence. 34(7). 12613–12620. 59 indexed citations

11.

Xu, Ruijia, Guanbin Li, Jihan Yang, & Liang Lin. (2019). Larger Norm More Transferable: An Adaptive Feature Norm Approach for Unsupervised Domain Adaptation. 1426–1435. 323 indexed citations breakdown →

12.

Xu, Ruijia, Guanbin Li, Jihan Yang, & Liang Lin. (2018). Unsupervised Domain Adaptation: An Adaptive Feature Norm Approach.. 4 indexed citations

13.

Yang, Jihan, et al.. (2005). An optimal edge detector for bridge target detection in SAR images. 2. 847–847. 8 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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