Jiecong Lin

794 total citations
21 papers, 478 citations indexed

About

Jiecong Lin is a scholar working on Molecular Biology, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Jiecong Lin has authored 21 papers receiving a total of 478 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 4 papers in Artificial Intelligence and 2 papers in Computational Theory and Mathematics. Recurrent topics in Jiecong Lin's work include Single-cell and spatial transcriptomics (7 papers), CRISPR and Genetic Engineering (5 papers) and RNA and protein synthesis mechanisms (5 papers). Jiecong Lin is often cited by papers focused on Single-cell and spatial transcriptomics (7 papers), CRISPR and Genetic Engineering (5 papers) and RNA and protein synthesis mechanisms (5 papers). Jiecong Lin collaborates with scholars based in Hong Kong, China and United States. Jiecong Lin's co-authors include Ka‐Chun Wong, Xiangtao Li, Shixiong Zhang, Lei Huang, Qiuzhen Lin, Junyi Chen, Zetian Zheng, Zhaolei Zhang, Xingjian Chen and Rui Liu and has published in prestigious journals such as Nucleic Acids Research, Nature Genetics and Nature Biotechnology.

In The Last Decade

Jiecong Lin

20 papers receiving 470 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jiecong Lin Hong Kong	10	405	63	46	42	39	21	478
Sheng Qu China	4	422 1.0×	51 0.8×	36 0.8×	42 1.0×	14 0.4×	8	482
Guohui Chuai China	14	827 2.0×	105 1.7×	80 1.7×	71 1.7×	63 1.6×	24	976
Jia Wei China	6	679 1.7×	11 0.2×	45 1.0×	56 1.3×	46 1.2×	12	725
Yunku Yeu South Korea	6	227 0.6×	60 1.0×	5 0.1×	71 1.7×	10 0.3×	14	359
Jifang Yan China	5	401 1.0×	5 0.1×	49 1.1×	49 1.2×	13 0.3×	6	426
Martin Pačesa Switzerland	11	383 0.9×	8 0.1×	27 0.6×	93 2.2×	4 0.1×	13	468
Bahar Yilmazel United States	6	354 0.9×	63 1.0×	3 0.1×	36 0.9×	12 0.3×	9	447
Yaron Orenstein Israel	16	760 1.9×	13 0.2×	5 0.1×	61 1.5×	66 1.7×	48	830
Ruochi Zhang United States	12	676 1.7×	4 0.1×	26 0.6×	95 2.3×	17 0.4×	17	730

Countries citing papers authored by Jiecong Lin

Since Specialization

Citations

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

Fields of papers citing papers by Jiecong Lin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiecong Lin

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

All Works

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20 of 20 papers shown

Kang, Hongen, et al.. (2025). Spatial GWAS Atlas: a knowledgebase for decoding the genetic architecture of complex traits in spatial resolution. Nucleic Acids Research. 54(D1). D1301–D1308. 1 indexed citations

Liu, Zongzhi, Wen Li, Jiaxiang Zhang, et al.. (2025). Protein-truncating variants in UQCRC1 are associated with Parkinson’s disease: evidence from half-million people. npj Parkinson s Disease. 11(1). 120–120.

Wang, Fuzhou, Jiecong Lin, Hamid Alinejad‐Rokny, et al.. (2025). Unveiling Multi‐Scale Architectural Features in Single‐Cell Hi‐C Data Using scCAFE. Advanced Science. 12(23). e2416432–e2416432. 1 indexed citations

Chen, Xingjian, et al.. (2024). HE2Gene: image-to-RNA translation via multi-task learning for spatial transcriptomics data. Bioinformatics. 40(6). 1 indexed citations

Huang, Lei, et al.. (2023). View Analysis of Personal Information Leakage and Privacy Protection in Big Data Era—Based on Q Method. SSRN Electronic Journal. 1 indexed citations

Liu, Zhe, Xingjian Chen, Jiecong Lin, et al.. (2023). MotifHub: Detection of trans-acting DNA motif group with probabilistic modeling algorithm. Computers in Biology and Medicine. 168. 107753–107753. 2 indexed citations

Wang, Fuzhou, Hamid Alinejad‐Rokny, Jiecong Lin, et al.. (2023). A Lightweight Framework For Chromatin Loop Detection at the Single‐Cell Level. Advanced Science. 10(33). e2303502–e2303502. 4 indexed citations

Zhang, Shixiong, Xiangtao Li, Jiecong Lin, Qiuzhen Lin, & Ka‐Chun Wong. (2023). Review of single-cell RNA-seq data clustering for cell-type identification and characterization. RNA. 29(5). 517–530. 46 indexed citations

Christie, Kathleen A., Jimmy A. Guo, Rachel A. Silverstein, et al.. (2022). Precise DNA cleavage using CRISPR-SpRYgests. Nature Biotechnology. 41(3). 409–416. 35 indexed citations

10.

Zeng, Jing, Jiecong Lin, Nicola Bombieri, et al.. (2022). Human genetic diversity alters off-target outcomes of therapeutic gene editing. Nature Genetics. 55(1). 34–43. 57 indexed citations

11.

Wang, Fuzhou, Jiecong Lin, Zetian Zheng, et al.. (2022). GILoop: Robust chromatin loop calling across multiple sequencing depths on Hi-C data. iScience. 25(12). 105535–105535. 9 indexed citations

12.

Lin, Jiecong, Xingjian Chen, & Ka‐Chun Wong. (2022). An Artificial Intelligence Approach for Gene Editing Off-Target Quantification: Convolutional Self-attention Neural Network Designs and Considerations. Statistics in Biosciences. 15(3). 657–668. 2 indexed citations

13.

Huang, Lei, Jiecong Lin, Rui Liu, et al.. (2022). CoaDTI: multi-modal co-attention based framework for drug–target interaction annotation. Briefings in Bioinformatics. 23(6). 50 indexed citations

14.

Huang, Lei, et al.. (2021). View analysis of personal information leakage and privacy protection in big data era—based on Q method. Aslib Journal of Information Management. 74(5). 901–927. 11 indexed citations

15.

Huang, Lei, Jiecong Lin, Xiangtao Li, et al.. (2021). EGFI: drug–drug interaction extraction and generation with fusion of enriched entity and sentence information. Briefings in Bioinformatics. 23(1). 27 indexed citations

16.

Chen, Xingjian, Jiecong Lin, Shixiong Zhang, et al.. (2021). Feature Selection and Feature Extraction: Highlights. 49–53. 2 indexed citations

17.

Lin, Jiecong, Zhaolei Zhang, Shixiong Zhang, Junyi Chen, & Ka‐Chun Wong. (2020). CRISPR‐Net: A Recurrent Convolutional Network Quantifies CRISPR Off‐Target Activities with Mismatches and Indels. Advanced Science. 7(13). 61 indexed citations

18.

Zhang, Shixiong, Xiangtao Li, Qiuzhen Lin, Jiecong Lin, & Ka‐Chun Wong. (2020). Uncovering the key dimensions of high-throughput biomolecular data using deep learning. Nucleic Acids Research. 48(10). e56–e56. 13 indexed citations

19.

Wong, Ka‐Chun, Junyi Chen, Jiao Zhang, et al.. (2019). Early Cancer Detection from Multianalyte Blood Test Results. iScience. 15. 332–341. 22 indexed citations

20.

Lin, Jiecong & Ka‐Chun Wong. (2018). Off-target predictions in CRISPR-Cas9 gene editing using deep learning. Bioinformatics. 34(17). i656–i663. 129 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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