Hai Jiang

757 total citations · 2 hit papers
12 papers, 403 citations indexed

About

Hai Jiang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Hai Jiang has authored 12 papers receiving a total of 403 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 2 papers in Artificial Intelligence and 2 papers in Media Technology. Recurrent topics in Hai Jiang's work include Advanced Vision and Imaging (5 papers), Advanced Image Processing Techniques (5 papers) and Image Enhancement Techniques (5 papers). Hai Jiang is often cited by papers focused on Advanced Vision and Imaging (5 papers), Advanced Image Processing Techniques (5 papers) and Image Enhancement Techniques (5 papers). Hai Jiang collaborates with scholars based in China, United States and Hong Kong. Hai Jiang's co-authors include Songchen Han, Fang Lin, Shuaicheng Liu, Ren Yang, Xuan Zhu, Haoqiang Fan, Ao Luo, Yuhang Lu, Bing Zeng and Yaqi Yu and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, ACM Transactions on Graphics and Physics in Medicine and Biology.

In The Last Decade

Hai Jiang

10 papers receiving 394 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.

R2RNet: Low-light image enhancement via Real-low to Real-normal Network

2022 198 citations Hai Jiang, Xuan Zhu et al. Journal of Visual Communication and Image Representation profile →
Low-Light Image Enhancement with Wavelet-Based Diffusion Models

2023 113 citations Hai Jiang, Ao Luo et al. ACM Transactions on Graphics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hai Jiang China	8	369	136	30	26	19	12	403
Feifan Lv China	5	478 1.3×	222 1.6×	25 0.8×	29 1.1×	19 1.0×	6	507
Seo-Won Ji South Korea	6	447 1.2×	221 1.6×	20 0.7×	21 0.8×	11 0.6×	12	502
YiChang Shih United States	9	613 1.7×	137 1.0×	21 0.7×	28 1.1×	24 1.3×	13	663
Bangshu Xiong China	7	301 0.8×	116 0.9×	25 0.8×	11 0.4×	14 0.7×	24	347
Haofeng Huang China	6	598 1.6×	247 1.8×	26 0.9×	43 1.7×	31 1.6×	12	656
Gyeongmin Choe South Korea	10	513 1.4×	167 1.2×	77 2.6×	31 1.2×	15 0.8×	14	561
Yifan Zuo China	10	358 1.0×	226 1.7×	26 0.9×	18 0.7×	30 1.6×	34	395
Tetiana Martyniuk Ukraine	2	606 1.6×	291 2.1×	17 0.6×	18 0.7×	11 0.6×	5	666
Orest Kupyn Ukraine	2	606 1.6×	291 2.1×	17 0.6×	18 0.7×	11 0.6×	2	666
Hanwei Zhu China	9	455 1.2×	295 2.2×	19 0.6×	36 1.4×	11 0.6×	25	526

Countries citing papers authored by Hai Jiang

Since Specialization

Citations

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

Fields of papers citing papers by Hai Jiang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hai Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Hai Jiang. A scholar is included among the top collaborators of Hai Jiang 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 Hai Jiang. Hai Jiang 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:

12 of 12 papers shown

1.

Jiang, Hai, et al.. (2025). ISPDiffuser: Learning RAW-to-sRGB Mappings with Texture-Aware Diffusion Models and Histogram-Guided Color Consistency. Proceedings of the AAAI Conference on Artificial Intelligence. 39(7). 6722–6730.

2.

Jiang, Hai, Ao Luo, Ping Tan, et al.. (2024). DMHomo: Learning Homography with Diffusion Models. ACM Transactions on Graphics. 43(3). 1–16. 6 indexed citations

3.

Jiang, Hai, et al.. (2024). Revisiting coarse-to-fine strategy for low-light image enhancement with deep decomposition guided training. Computer Vision and Image Understanding. 241. 103952–103952. 5 indexed citations

4.

Li, Yue, et al.. (2023). Atypical architectural distortion detection in digital breast tomosynthesis: a multi-view computer-aided detection model with ipsilateral learning. Physics in Medicine and Biology. 68(23). 235006–235006.

5.

Jiang, Hai, et al.. (2023). Supervised Homography Learning with Realistic Dataset Generation. 9772–9781. 8 indexed citations

6.

Jiang, Hai, et al.. (2023). Semi-supervised Deep Large-Baseline Homography Estimation with Progressive Equivalence Constraint. Proceedings of the AAAI Conference on Artificial Intelligence. 37(1). 1024–1032. 15 indexed citations

7.

Jiang, Hai, Ao Luo, Haoqiang Fan, Songchen Han, & Shuaicheng Liu. (2023). Low-Light Image Enhancement with Wavelet-Based Diffusion Models. ACM Transactions on Graphics. 42(6). 1–14. 113 indexed citations breakdown →

8.

Jiang, Hai, et al.. (2022). Combining Spatial and Frequency Information for Image Deblurring. IEEE Signal Processing Letters. 29. 1679–1683. 12 indexed citations

9.

Jiang, Hai, et al.. (2022). Advanced RetinexNet: A fully convolutional network for low-light image enhancement. Signal Processing Image Communication. 112. 116916–116916. 14 indexed citations

10.

Jiang, Hai, et al.. (2022). R2RNet: Low-light image enhancement via Real-low to Real-normal Network. Journal of Visual Communication and Image Representation. 90. 103712–103712. 198 indexed citations breakdown →

11.

Liu, Shuaicheng, Yuhang Lu, Hai Jiang, et al.. (2022). Unsupervised Global and Local Homography Estimation With Motion Basis Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(6). 7885–7899. 14 indexed citations

12.

Jiang, Hai, et al.. (2021). A Visual Navigation System for UAV under Diverse Illumination Conditions. Applied Artificial Intelligence. 35(15). 1529–1549. 18 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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