Renliang Sun

588 total citations
18 papers, 237 citations indexed

About

Renliang Sun is a scholar working on Artificial Intelligence, Molecular Biology and Cancer Research. According to data from OpenAlex, Renliang Sun has authored 18 papers receiving a total of 237 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 5 papers in Molecular Biology and 4 papers in Cancer Research. Recurrent topics in Renliang Sun's work include Natural Language Processing Techniques (6 papers), Text Readability and Simplification (5 papers) and Topic Modeling (4 papers). Renliang Sun is often cited by papers focused on Natural Language Processing Techniques (6 papers), Text Readability and Simplification (5 papers) and Topic Modeling (4 papers). Renliang Sun collaborates with scholars based in China, United States and South Korea. Renliang Sun's co-authors include Yong Deng, Xiaojun Wan, Zhuo Wang, Jian Li, Chen‐Guang Liu, Jie Yao, Nathan D. Price, Qian Liu, Shiping Yang and Yongyong Shi and has published in prestigious journals such as IEEE Access, BMC Bioinformatics and PLoS Computational Biology.

In The Last Decade

Renliang Sun

17 papers receiving 231 citations

Peers

Renliang Sun
Renliang Sun
Citations per year, relative to Renliang Sun Renliang Sun (= 1×) peers Wenjie You

Countries citing papers authored by Renliang Sun

Since Specialization
Citations

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

Fields of papers citing papers by Renliang Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Renliang Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Renliang Sun. A scholar is included among the top collaborators of Renliang 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 Renliang Sun. Renliang Sun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Xiao, Yang, Wanjia Zhao, Junkai Zhang, et al.. (2025). Protein Large Language Models: A Comprehensive Survey. 23080–23103. 1 indexed citations
2.
Sun, Renliang, Wei Xu, & Xiaojun Wan. (2023). Teaching the Pre-trained Model to Generate Simple Texts for Text Simplification. 9345–9355. 4 indexed citations
3.
Sun, Renliang, Zhixian Yang, & Xiaojun Wan. (2023). Exploiting Summarization Data to Help Text Simplification. 39–51. 4 indexed citations
4.
Sun, Renliang, Aamir Fahira, Qiangzhen Yang, et al.. (2023). DROEG: a method for cancer drug response prediction based on omics and essential genes integration. Briefings in Bioinformatics. 24(2). 2 indexed citations
5.
Yang, Shiping, Renliang Sun, & Xiaojun Wan. (2023). A New Benchmark and Reverse Validation Method for Passage-level Hallucination Detection. 3898–3908. 10 indexed citations
6.
Yang, Shiping, Renliang Sun, & Xiaojun Wan. (2023). A New Dataset and Empirical Study for Sentence Simplification in Chinese. 8306–8321. 3 indexed citations
7.
Sun, Renliang, et al.. (2022). Nearest Neighbor Knowledge Distillation for Neural Machine Translation. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 5546–5556. 7 indexed citations
8.
Sun, Renliang, et al.. (2021). Document-Level Text Simplification: Dataset, Criteria and Baseline. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 7997–8013. 23 indexed citations
9.
Zhang, Hang, Renliang Sun, Aamir Fahira, et al.. (2021). Integrative omics analysis reveals effective stratification and potential prognosis markers of pan-gastrointestinal cancers. iScience. 24(8). 102824–102824. 4 indexed citations
10.
Wang, Ke, Aamir Fahira, Qiangzhen Yang, et al.. (2021). Systematic comparative study of computational methods for HLA typing from next‐generation sequencing. HLA. 97(6). 481–492. 4 indexed citations
11.
Sun, Renliang, et al.. (2021). A Micro-Motion Feature Extraction Method Based on CORR-OMP. 35. 411–416.
12.
Sun, Renliang, et al.. (2020). Mechanistic Modeling of Gene Regulation and Metabolism Identifies Potential Targets for Hepatocellular Carcinoma. Frontiers in Genetics. 11. 595242–595242. 6 indexed citations
13.
Sun, Renliang, Zhe Lin, & Xiaojun Wan. (2020). On the Helpfulness of Document Context to Sentence Simplification. 1411–1423. 7 indexed citations
14.
Wang, Ke, Juan Zhou, Jianhua Chen, et al.. (2019). VariFAST: a variant filter by automated scoring based on tagged-signatures. BMC Bioinformatics. 20(S22). 713–713. 3 indexed citations
15.
Sun, Renliang, Jie Yao, Jian Li, et al.. (2019). OptRAM: In-silico strain design via integrative regulatory-metabolic network modeling. PLoS Computational Biology. 15(3). e1006835–e1006835. 43 indexed citations
16.
Sun, Renliang & Yong Deng. (2019). A New Method to Determine Generalized Basic Probability Assignment in the Open World. IEEE Access. 7. 52827–52835. 35 indexed citations
17.
Sun, Renliang & Yong Deng. (2019). A New Method to Identify Incomplete Frame of Discernment in Evidence Theory. IEEE Access. 7. 15547–15555. 71 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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