Chengcheng Sun

779 total citations
24 papers, 415 citations indexed

About

Chengcheng Sun is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Chengcheng Sun has authored 24 papers receiving a total of 415 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Statistical and Nonlinear Physics, 7 papers in Artificial Intelligence and 5 papers in Molecular Biology. Recurrent topics in Chengcheng Sun's work include Complex Network Analysis Techniques (7 papers), Advanced Graph Neural Networks (6 papers) and Opinion Dynamics and Social Influence (5 papers). Chengcheng Sun is often cited by papers focused on Complex Network Analysis Techniques (7 papers), Advanced Graph Neural Networks (6 papers) and Opinion Dynamics and Social Influence (5 papers). Chengcheng Sun collaborates with scholars based in China, United States and Denmark. Chengcheng Sun's co-authors include Xuqing Liu, Xili Hu, Tailin Xu, Bing Sun, Lijun Qu, Xueji Zhang, Mingwei Tian, Xuantong Sun, Zhixiao Wang and Xiaobin Rui and has published in prestigious journals such as ACS Nano, Scientific Reports and IEEE Transactions on Cybernetics.

In The Last Decade

Chengcheng Sun

23 papers receiving 403 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chengcheng Sun China 10 140 69 64 58 54 24 415
Keunsoo Lee South Korea 11 81 0.6× 34 0.5× 8 0.1× 155 2.7× 103 1.9× 34 548
Pengyun Li China 12 253 1.8× 58 0.8× 9 0.1× 97 1.7× 51 0.9× 34 514
Yakun Ma China 13 117 0.8× 21 0.3× 7 0.1× 26 0.4× 158 2.9× 31 561
Haijun Liu China 13 79 0.6× 63 0.9× 9 0.1× 47 0.8× 46 0.9× 83 700
Qinyi Wang China 12 40 0.3× 28 0.4× 7 0.1× 53 0.9× 31 0.6× 33 491
Ashwini Kumar Singh India 9 39 0.3× 134 1.9× 33 0.5× 49 0.8× 17 0.3× 25 329
Mengxia Zhang China 12 88 0.6× 41 0.6× 42 0.7× 9 0.2× 16 0.3× 40 410

Countries citing papers authored by Chengcheng Sun

Since Specialization
Citations

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

Fields of papers citing papers by Chengcheng Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chengcheng Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Chengcheng Sun. A scholar is included among the top collaborators of Chengcheng 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 Chengcheng Sun. Chengcheng 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.
Chai, Chaochao, Langchao Liang, Chengcheng Sun, et al.. (2024). Single-cell transcriptome analysis of epithelial, immune, and stromal signatures and interactions in human ovarian cancer. Communications Biology. 7(1). 131–131. 18 indexed citations
2.
Rui, Xiaobin, et al.. (2024). Higher-order link prediction via light hypergraph neural network and hybrid aggregator. International Journal of Machine Learning and Cybernetics. 16(4). 2671–2685.
3.
Sun, Chengcheng, et al.. (2023). Attention-based graph neural networks: a survey. Artificial Intelligence Review. 56(S2). 2263–2310. 35 indexed citations
4.
Ding, Peiwen, Chengcheng Sun, Daxi Wang, et al.. (2022). Comparative analysis of single cell lung atlas of bat, cat, tiger, and pangolin. Cell Biology and Toxicology. 39(5). 2431–2435. 3 indexed citations
5.
Wang, Zhixiao, et al.. (2022). A Weighted Symmetric Graph Embedding Approach for Link Prediction in Undirected Graphs. IEEE Transactions on Cybernetics. 54(2). 1037–1047. 21 indexed citations
6.
Li, Zhibin, Chengcheng Sun, Fei Wang, et al.. (2022). Molecular mechanisms governing circulating immune cell heterogeneity across different species revealed by single‐cell sequencing. Clinical and Translational Medicine. 12(1). e689–e689. 17 indexed citations
7.
Zhang, Lijing, Jiacheng Zhu, Haoyu Wang, et al.. (2021). A high-resolution cell atlas of the domestic pig lung and an online platform for exploring lung single-cell data. Journal of genetics and genomics. 48(5). 411–425. 12 indexed citations
8.
Wang, Yuan, Chengcheng Sun, Jun Min, et al.. (2021). The engineered biphenyl dioxygenases enhanced the metabolism of dibenzofuran. International Biodeterioration & Biodegradation. 161. 105228–105228. 5 indexed citations
9.
Sun, Chengcheng, et al.. (2021). An approximation algorithm for unifying adjacencies by double cut and joins in unsigned genomes. 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). 1 indexed citations
10.
Wang, Zhixiao, et al.. (2021). Influence maximization in social graphs based on community structure and node coverage gain. Future Generation Computer Systems. 118. 327–338. 31 indexed citations
11.
Xiang, Jiale, Lisha Chen, Qiang Chen, et al.. (2020). Author Correction: Reinterpretation of common pathogenic variants in ClinVar revealed a high proportion of downgrades. Scientific Reports. 10(1). 11593–11593. 2 indexed citations
12.
Xiang, Jiale, Lisha Chen, Qiang Chen, et al.. (2020). Reinterpretation of common pathogenic variants in ClinVar revealed a high proportion of downgrades. Scientific Reports. 10(1). 331–331. 26 indexed citations
13.
Wang, Zhixiao, Chengcheng Sun, Xiaobin Rui, Philip S. Yu, & Lichao Sun. (2020). Localization of multiple diffusion sources based on overlapping community detection. Knowledge-Based Systems. 226. 106613–106613. 12 indexed citations
14.
Wang, Zhixiao, Chengcheng Sun, Guan Yuan, Xiaobin Rui, & Xiaodong Yang. (2020). A neighborhood link sensitive dismantling method for social networks. Journal of Computational Science. 43. 101129–101129. 9 indexed citations
15.
Hu, Xili, Mingwei Tian, Tailin Xu, et al.. (2019). Multiscale Disordered Porous Fibers for Self-Sensing and Self-Cooling Integrated Smart Sportswear. ACS Nano. 14(1). 559–567. 194 indexed citations
16.
Zheng, Yi, Wentao Zhao, Chengcheng Sun, & Qian Li. (2019). Drug Side-Effect Prediction Using Heterogeneous Features and Bipartite Local Models. Computers, materials & continua/Computers, materials & continua (Print). 60(2). 481–496. 3 indexed citations
17.
Sun, Chengcheng, et al.. (2017). Drug Side-effect Prediction based on Comprehensive Drug Similarity. 1 indexed citations
18.
Sun, Chengcheng, et al.. (2012). Dispersion compensation of 50 km SMF optical transmission systems with a linearly chirped fiber grating. Tsinghua Science & Technology. 4(4). 1624–1627. 1 indexed citations
19.
Li, Ke, et al.. (2009). The Combination Forecasting of Nanchang Port's Cargo Throughput. 1–4. 3 indexed citations
20.
Sun, Chengcheng, Jing Cao, & Chunyun Li. (2002). Dispersion compensation of 180-km 10-Gb/s transmission system using chirped fiber grating. Tsinghua Science & Technology. 7(3). 305–308. 1 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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