Dailan He

886 total citations · 1 hit paper
8 papers, 429 citations indexed

About

Dailan He is a scholar working on Computer Vision and Pattern Recognition, Ocean Engineering and Signal Processing. According to data from OpenAlex, Dailan He has authored 8 papers receiving a total of 429 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 1 paper in Ocean Engineering and 1 paper in Signal Processing. Recurrent topics in Dailan He's work include Image and Signal Denoising Methods (5 papers), Advanced Data Compression Techniques (5 papers) and Advanced Image Processing Techniques (5 papers). Dailan He is often cited by papers focused on Image and Signal Denoising Methods (5 papers), Advanced Data Compression Techniques (5 papers) and Advanced Image Processing Techniques (5 papers). Dailan He collaborates with scholars based in China and Hong Kong. Dailan He's co-authors include Hongwei Qin, Yan Wang, Yan Wang, Rui Ma, Ziming Yang, Lei Wang, Aishan Liu, Yuqing Ma, Xianglong Liu and Tongda Xu and has published in prestigious journals such as Chemistry and Technology of Fuels and Oils, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and Rare & Special e-Zone (The Hong Kong University of Science and Technology).

In The Last Decade

Dailan He

8 papers receiving 424 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.

ELIC: Efficient Learned Image Compression with Unevenly Grouped Space-Channel Contextual Adaptive Coding

2022 183 citations Dailan He, Ziming Yang et al. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dailan He China	5	384	87	47	34	15	8	429
Hyomin Choi Canada	9	261 0.7×	135 1.6×	21 0.4×	23 0.7×	10 0.7×	23	316
Byung Tae Oh South Korea	9	312 0.8×	141 1.6×	23 0.5×	86 2.5×	10 0.7×	43	341
Ning Yan China	9	304 0.8×	118 1.4×	66 1.4×	19 0.6×	5 0.3×	18	337
Fabian Mentzer Switzerland	7	346 0.9×	164 1.9×	27 0.6×	13 0.4×	6 0.4×	11	376
Qunliang Xing China	3	277 0.7×	156 1.8×	11 0.2×	18 0.5×	7 0.5×	5	315
Branka Zovko-Cihlar Croatia	6	229 0.6×	65 0.7×	19 0.4×	53 1.6×	6 0.4×	36	294
Mingkuan Yuan China	6	470 1.2×	24 0.3×	145 3.1×	16 0.5×	9 0.6×	8	513
Haitao Yang China	10	400 1.0×	273 3.1×	16 0.3×	44 1.3×	6 0.4×	24	432
Michiharu Niimi Japan	11	351 0.9×	25 0.3×	37 0.8×	34 1.0×	6 0.4×	54	383
Shiaw-Shian Yu Taiwan	7	273 0.7×	41 0.5×	52 1.1×	72 2.1×	10 0.7×	15	305

Countries citing papers authored by Dailan He

Since Specialization

Citations

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

Fields of papers citing papers by Dailan He

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dailan He

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

8 of 8 papers shown

1.

Zhang, Xinjie, Ren Yang, Dailan He, et al.. (2024). Boosting Neural Representations for Videos with a Conditional Decoder. 2556–2566. 3 indexed citations

2.

Zhang, Xinjie, Tongda Xu, Guo Lu, et al.. (2024). Task-Aware Encoder Control for Deep Video Compression. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 26036–26045. 1 indexed citations

3.

Guo, Lina, Dailan He, Yuanyuan Wang, et al.. (2022). Practical Learned Lossless JPEG Recompression with Multi-Level Cross-Channel Entropy Model in the DCT Domain. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 5852–5861. 5 indexed citations

4.

He, Dailan, et al.. (2022). ELIC: Efficient Learned Image Compression with Unevenly Grouped Space-Channel Contextual Adaptive Coding. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 5708–5717. 183 indexed citations breakdown →

5.

He, Dailan, Ziming Yang, Tongda Xu, et al.. (2022). PO-ELIC: Perception-Oriented Efficient Learned Image Coding. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). 1763–1768. 15 indexed citations

6.

He, Dailan, et al.. (2021). Checkerboard Context Model for Efficient Learned Image Compression. 14766–14775. 181 indexed citations

7.

Ma, Yuqing, et al.. (2019). Coarse-to-Fine Image Inpainting via Region-wise Convolutions and Non-Local Correlation. 3123–3129. 37 indexed citations

8.

Li, Nianyin, et al.. (2016). An Alkaline Barium- and Strontium-Sulfate Scale Dissolver. Chemistry and Technology of Fuels and Oils. 52(2). 141–148. 4 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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