Run Cang Sun

1.8k total citations · 1 hit paper
45 papers, 1.3k citations indexed

About

Run Cang Sun is a scholar working on Biomedical Engineering, Biomaterials and Artificial Intelligence. According to data from OpenAlex, Run Cang Sun has authored 45 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Biomedical Engineering, 18 papers in Biomaterials and 7 papers in Artificial Intelligence. Recurrent topics in Run Cang Sun's work include Advanced Cellulose Research Studies (16 papers), Biofuel production and bioconversion (15 papers) and Lignin and Wood Chemistry (9 papers). Run Cang Sun is often cited by papers focused on Advanced Cellulose Research Studies (16 papers), Biofuel production and bioconversion (15 papers) and Lignin and Wood Chemistry (9 papers). Run Cang Sun collaborates with scholars based in China, United Kingdom and United States. Run Cang Sun's co-authors include J. Tomkinson, Chuanfu Liu, Mark S. Baird, Sun Xiao, Jiaxin Fang, Feng Xu, Feng Xu, Paul Fowler, Jianan Sun and Junli Ren and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioresource Technology and Carbohydrate Polymers.

In The Last Decade

Run Cang Sun

43 papers receiving 1.3k citations

Hit Papers

Optical neural networks: progress and challenges 2024 2026 2025 2024 20 40 60
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. Optical neural networks: progress and challenges
    2024 62 citations Tingzhao Fu, Jianfa Zhang et al. Light Science & Applications profile →

Peers

Run Cang Sun
Tianying Chen China
Gérard Mortha France
Zhaojiang Wang China
Yun Ji United States
Lalehvash Moghaddam Australia
Hongjie Zhang China
Keli Chen China
Tănase Dobre Romania
Hanyin Li China
Adriaan R. P. van Heiningen Canada
Tianying Chen China
Run Cang Sun
Citations per year, relative to Run Cang Sun Run Cang Sun (= 1×) peers Tianying Chen

Countries citing papers authored by Run Cang Sun

Since Specialization
Citations

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

Fields of papers citing papers by Run Cang Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Run Cang Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Run Cang Sun. A scholar is included among the top collaborators of Run Cang Sun 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 Run Cang Sun. Run Cang Sun 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.
Liu, Wencan, Yuyao Huang, Run Cang Sun, et al.. (2025). Ultra-compact multi-task processor based on in-memory optical computing. Light Science & Applications. 14(1). 134–134. 4 indexed citations
2.
Liu, Wencan, Yuyao Huang, Peter Chan, et al.. (2025). Integrated Photonic Processor for High‐Efficiency Megapixel RGB Image Encoding. Laser & Photonics Review. 19(22).
3.
Xu, Yongli, Hanruo Liu, Run Cang Sun, et al.. (2024). Deep learning for predicting circular retinal nerve fiber layer thickness from fundus photographs and diagnosing glaucoma. Heliyon. 10(13). e33813–e33813. 2 indexed citations
4.
Fu, Tingzhao, Jianfa Zhang, Run Cang Sun, et al.. (2024). Optical neural networks: progress and challenges. Light Science & Applications. 13(1). 263–263. 62 indexed citations breakdown →
5.
Wang, Yingying, Zhenyu Lu, Yayan Tong, et al.. (2024). A functionalized glass fiber as the adsorbent for efficient analysis of endocrine disruptors in aqueous environments. Journal of Chromatography A. 1720. 464813–464813. 4 indexed citations
6.
Fu, Tingzhao, Yuyao Huang, Run Cang Sun, et al.. (2023). Integrated diffractive optical neural network with space-time interleaving. Chinese Optics Letters. 21(9). 91301–91301. 4 indexed citations
7.
Zhang, Xudong, et al.. (2023). Comparative study on ventilation and air conditioning system schemes based on virus pollution control in hospital infusion room. Aerobiologia. 39(4). 429–439. 1 indexed citations
8.
Fu, Tingzhao, Wencan Liu, Yuyao Huang, et al.. (2023). Miniature on-chip diffractive optical neural network design. 11. JW2A.135–JW2A.135. 2 indexed citations
9.
Ma, Jingmei, Yawei Liu, Zhirong Guo, et al.. (2022). The diversity of trophoblast cells and niches of placenta accreta spectrum disorders revealed by single-cell RNA sequencing. Frontiers in Cell and Developmental Biology. 10. 1044198–1044198. 16 indexed citations
10.
11.
12.
Meng, Ling, et al.. (2012). Fractional pretreatment of hybrid poplar for accelerated enzymatic hydrolysis: Characterization of cellulose-enriched fraction. Bioresource Technology. 110. 308–313. 25 indexed citations
13.
Sun, Run Cang, et al.. (2011). EFFECT OF CATALYSTS ON 5-LUMP DISTRIBUTION OF CORNSTALK LIQUEFACTION IN SUB-CRITICAL ETHANOL. SHILAP Revista de lepidopterología. 2 indexed citations
14.
Wang, Kun, Hai Yang, Feng Xu, & Run Cang Sun. (2011). Structural comparison and enhanced enzymatic hydrolysis of the cellulosic preparation from Populus tomentosa Carr., by different cellulose-soluble solvent systems. Bioresource Technology. 102(6). 4524–4529. 30 indexed citations
15.
Jia, Ning, et al.. (2011). NANOCOMPOSITES OF CELLULOSE/CARBONATED HYDROXYAPATITE BY MICROWAVE-ASSISTED FABRICATION IN IONIC LIQUID: CHARACTERIZATION AND THERMAL STABILITY. 20(5131). 413–421. 7 indexed citations
16.
Jiang, Jian, et al.. (2010). Microwave-Assisted Controlled Synthesis of CaCO<sub>3</sub> with Various Biomimetic Morphologies Using Basic Additives in Polyol. Advanced materials research. 92. 139–145. 2 indexed citations
17.
Liu, Chuanfu, Feng Xu, Jianan Sun, et al.. (2006). Physicochemical characterization of cellulose from perennial ryegrass leaves (Lolium perenne). Carbohydrate Research. 341(16). 2677–2687. 159 indexed citations
18.
Xu, Feng, Zengchao Geng, Jianan Sun, et al.. (2006). Fractional and structural characterization of hemicelluloses from perennial ryegrass (Lolium perenne) and cocksfoot grass (Dactylis glomerata). Carbohydrate Research. 341(12). 2073–2082. 28 indexed citations
19.
Xiao, Sun, Run Cang Sun, J. Tomkinson, & Mark S. Baird. (2003). Isolation and characterization of lignins, hemicelluloses, and celluloses from wheat straw by alkaline peroxide treatment. Cellulose Chemistry and Technology. 37. 283–304. 10 indexed citations
20.
Sun, Run Cang, et al.. (2003). Chemical composition of lipophilic extractives released during the hot water treatment of wheat straw. Bioresource Technology. 88(2). 95–101. 37 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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