Shijie Hao

2.7k total citations · 2 hit papers
65 papers, 1.9k citations indexed

About

Shijie Hao is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Shijie Hao has authored 65 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Computer Vision and Pattern Recognition, 18 papers in Artificial Intelligence and 7 papers in Media Technology. Recurrent topics in Shijie Hao's work include Image Enhancement Techniques (20 papers), Advanced Image and Video Retrieval Techniques (14 papers) and Advanced Vision and Imaging (12 papers). Shijie Hao is often cited by papers focused on Image Enhancement Techniques (20 papers), Advanced Image and Video Retrieval Techniques (14 papers) and Advanced Vision and Imaging (12 papers). Shijie Hao collaborates with scholars based in China, United States and Australia. Shijie Hao's co-authors include Yanrong Guo, Meng Wang, Yuan Zhou, Weijie Fu, Xindong Wu, Richang Hong, Xu Han, Xin Xu, Feng‐Xiang Ge and Yanmiao Li and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and IEEE Access.

In The Last Decade

Shijie Hao

61 papers receiving 1.8k citations

Hit Papers

A Brief Survey on Semantic Segmentation with Deep Learning 2020 2026 2022 2024 2020 2020 100 200 300
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.

  1. A Brief Survey on Semantic Segmentation with Deep Learning
    2020 369 citations Shijie Hao, Yuan Zhou et al. Neurocomputing profile →
  2. Low-Light Image Enhancement With Semi-Decoupled Decomposition
    2020 253 citations Shijie Hao, Yanrong Guo et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shijie Hao China 19 1.0k 524 351 179 133 65 1.9k
Dan Xu China 22 1.4k 1.3× 670 1.3× 276 0.8× 130 0.7× 67 0.5× 332 2.6k
Tai‐Jiang Mu China 18 1.6k 1.5× 568 1.1× 323 0.9× 138 0.8× 107 0.8× 56 2.8k
Meng-Hao Guo China 7 1.3k 1.2× 591 1.1× 382 1.1× 122 0.7× 104 0.8× 23 2.6k
Zheng-Ning Liu China 7 1.3k 1.2× 583 1.1× 379 1.1× 117 0.7× 104 0.8× 10 2.5k
Ralph R. Martin United Kingdom 18 1.2k 1.2× 368 0.7× 251 0.7× 134 0.7× 113 0.8× 44 2.5k
Heikki Kälviäinen Finland 23 1.5k 1.4× 332 0.6× 318 0.9× 132 0.7× 156 1.2× 112 2.6k
Peng-Tao Jiang China 10 1.2k 1.2× 792 1.5× 266 0.8× 84 0.5× 87 0.7× 16 2.3k
Maxime Oquab France 4 1.2k 1.1× 790 1.5× 208 0.6× 59 0.3× 68 0.5× 9 2.1k
Jing Pan China 20 914 0.9× 360 0.7× 171 0.5× 119 0.7× 77 0.6× 93 1.7k

Countries citing papers authored by Shijie Hao

Since Specialization
Citations

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

Fields of papers citing papers by Shijie Hao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shijie Hao

This figure shows the co-authorship network connecting the top 25 collaborators of Shijie Hao. A scholar is included among the top collaborators of Shijie Hao 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 Shijie Hao. Shijie Hao 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.
Hao, Shijie, et al.. (2025). Interview-Based Depression Detection Using LLM-Based Text Restatement and Emotion Lexicon. IEEE Transactions on Affective Computing. 17(1). 468–481.
2.
Guo, Yanrong, et al.. (2025). Subthreshold Depression Detection With Text-Guided Multimodal Learning. IEEE Transactions on Computational Social Systems. 13(1). 921–933.
3.
Hao, Shijie, et al.. (2024). Pre‐trained low‐light image enhancement transformer. IET Image Processing. 18(8). 1967–1984. 1 indexed citations
4.
Xu, Shiyao, et al.. (2024). Controlled epitaxial growth of strain-induced large-area bilayer MoS2 by chemical vapor deposition based on two-stage strategy. Materials Today Physics. 46. 101501–101501. 4 indexed citations
5.
Guo, Yanrong, et al.. (2024). Leaving None Behind: Data-Free Domain Incremental Learning for Major Depressive Disorder Detection. IEEE Transactions on Affective Computing. 16(2). 758–770. 1 indexed citations
6.
Hao, Shijie, et al.. (2024). A lightness-aware loss for low-light image enhancement. Pattern Recognition Letters. 179. 123–129. 5 indexed citations
7.
Hu, Zhenzhen, et al.. (2023). CITE: Compact Interactive TransformEr for Multilingual Image Captioning. 34. 175–181. 1 indexed citations
8.
Hong, Richang, et al.. (2022). MS²-GNN: Exploring GNN-Based Multimodal Fusion Network for Depression Detection. IEEE Transactions on Cybernetics. 53(12). 7749–7759. 52 indexed citations
9.
Guo, Yanrong, et al.. (2022). Hierarchical Multifeature Fusion via Audio-Response-Level Modeling for Depression Detection. IEEE Transactions on Computational Social Systems. 10(5). 2797–2805. 12 indexed citations
10.
Hao, Shijie, et al.. (2021). Robust pencil drawing generation via fast Retinex decomposition. Computers & Graphics. 97. 67–77. 1 indexed citations
11.
Wang, Meng, Weijie Fu, Xiangnan He, Shijie Hao, & Xindong Wu. (2020). A Survey on Large-Scale Machine Learning. IEEE Transactions on Knowledge and Data Engineering. 1–1. 80 indexed citations
12.
Hao, Shijie, Yuan Zhou, & Yanrong Guo. (2020). A Brief Survey on Semantic Segmentation with Deep Learning. Neurocomputing. 406. 302–321. 369 indexed citations breakdown →
13.
Hao, Shijie, Yuan Zhou, Yanrong Guo, & Richang Hong. (2020). Bi-direction Context Propagation Network for Real-time Semantic Segmentation.. 6 indexed citations
14.
Hao, Shijie, et al.. (2020). Adaptive Multi-Task Dual-Structured Learning with Its Application on Alzheimer’s Disease Study. ACM Transactions on Internet Technology. 21(2). 1–16. 7 indexed citations
15.
Hao, Shijie, et al.. (2017). Low-Light Image Enhancement by Refining Illumination Map with Self-Guided Filtering. 183–187. 12 indexed citations
16.
Fu, Weijie, Meng Wang, Shijie Hao, & Tingting Mu. (2017). FLAG: Faster Learning on Anchor Graph with Label Predictor Optimization. IEEE Transactions on Big Data. 8(3). 579–591. 6 indexed citations
17.
Liu, Xiong, et al.. (2016). Buffer management for streaming media transmission in hierarchical data of opportunistic networks. Neurocomputing. 193. 42–50. 5 indexed citations
18.
Guo, Yanrong, Pei Dong, Shijie Hao, et al.. (2016). Automatic Segmentation of Hippocampus for Longitudinal Infant Brain MR Image Sequence by Spatial-Temporal Hypergraph Learning. Lecture notes in computer science. 9993. 1–8. 5 indexed citations
19.
Hao, Shijie, Daru Pan, Yanrong Guo, Richang Hong, & Meng Wang. (2015). Image detail enhancement with spatially guided filters. Signal Processing. 120. 789–796. 24 indexed citations
20.
Sun, Fuming, et al.. (2014). Social video annotation by combining features with a tri-adaptation approach. Multimedia Systems. 22(4). 413–422. 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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