Heming Sun

2.7k citations
100 papers · 1.6k indexed · 1 hit paper · h-index 17

Heming Sun

90 papers receiving 1.6k citations

Hit Papers

Learned Image Compression With Discretized Gaussian Mixtu...6172020202620222024200400600

Peers

Heming Sun
Comparison fields: 5 of 83
  • Computer Vision and Pattern Recognition 1.3k
  • Signal Processing 604
  • Media Technology 96
  • Hardware and Architecture 52
  • Computer Graphics and Computer-Aided Design 26
Replace Zhengxue Cheng with:
Zhengxue Cheng Japan
Luís A. da Silva Cruz Portugal
Bo Peng China
Shanshe Wang China
Xiao Lin China
Simone Milani Italy
Nicolás Guil Spain
R.D. Dony Canada
Hengzhu Liu China
Shiping Zhu China
Heming Sun relative to Zhengxue Cheng Japan Zhengxue Cheng's profile →
Citations per field
00.5×10×16×
Zhengxue Cheng · 1×
Citations per year

Countries citing papers authored by Heming Sun

Since Specialization
Citations

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

Fields of papers citing papers by Heming Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Heming Sun, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Heming Sun Line = papers co-authored together Heming Sun links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20253
3 20250
4 20243
5 20242
6 20241
7 20242
8 20240
9 20234
10 20231
11 20237
12 20223
13 202212
14 20221
15 202016
16
Deep Residual Learning for Image Compression
20199
17 201826
18 20182
19 201821
20 20172

About Heming Sun

Heming Sun is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Hardware and Architecture, Media Technology and Electrical and Electronic Engineering, having authored 100 papers that have together received 1.6k indexed citations. Recurring topics across this work include Video Coding and Compression Technologies (43 papers), Advanced Data Compression Techniques (39 papers), Advanced Vision and Imaging (36 papers), Advanced Image Processing Techniques (35 papers), Image and Signal Denoising Methods (14 papers), Low-power high-performance VLSI design (11 papers), Image and Video Quality Assessment (10 papers) and Advanced Image and Video Retrieval Techniques (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.3k citations), Signal Processing (604 citations), Media Technology (96 citations), Hardware and Architecture (52 citations) and Computer Graphics and Computer-Aided Design (26 citations). Heming Sun has collaborated with scholars based in Japan, China and United States. Frequent co-authors include Jiro Katto, Zhengxue Cheng, Masaru Takeuchi, Yibo Fan, Xiaoyang Zeng, Satoshi Goto, Yi Guo, Shinji Kimura, Minge Jing and Lu Yu. Their work appears in journals such as IEEE Access, IEEE Journal on Emerging and Selected Topics in Circuits and Systems, IEEE Transactions on Circuits & Systems II Express Briefs, IEEE Transactions on Multimedia and Journal of Visual Communication and Image Representation.

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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