Cong Pian

631 total citations
29 papers, 442 citations indexed

About

Cong Pian is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Cong Pian has authored 29 papers receiving a total of 442 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 12 papers in Cancer Research and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Cong Pian's work include Cancer-related molecular mechanisms research (10 papers), Machine Learning in Bioinformatics (9 papers) and MicroRNA in disease regulation (8 papers). Cong Pian is often cited by papers focused on Cancer-related molecular mechanisms research (10 papers), Machine Learning in Bioinformatics (9 papers) and MicroRNA in disease regulation (8 papers). Cong Pian collaborates with scholars based in China and Hong Kong. Cong Pian's co-authors include Yuanyuan Chen, Liangyun Zhang, Xiaodan Fan, Fei Li, Mingmin Xu, Jin Zhang, Zhi Chen, Lingpeng Kong, Hangjin Jiang and Tao Yang and has published in prestigious journals such as Bioinformatics, PLoS ONE and BMC Bioinformatics.

In The Last Decade

Cong Pian

29 papers receiving 435 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cong Pian China 12 386 188 22 19 18 29 442
Juanjuan Kang China 11 460 1.2× 169 0.9× 8 0.4× 13 0.7× 10 0.6× 20 528
Piyush B. Madhamshettiwar Australia 9 333 0.9× 37 0.2× 11 0.5× 14 0.7× 25 1.4× 14 425
Shuye Tian China 11 300 0.8× 38 0.2× 21 1.0× 23 1.2× 23 1.3× 14 424
Santhilata Kuppili Venkata United Kingdom 2 304 0.8× 103 0.5× 37 1.7× 11 0.6× 35 1.9× 5 407
Yizhu Lin United States 7 343 0.9× 106 0.6× 10 0.5× 35 1.8× 9 0.5× 8 411
Joel Nulsen United Kingdom 3 362 0.9× 135 0.7× 37 1.7× 11 0.6× 46 2.6× 5 468
Ploy N. Pratanwanich Thailand 9 487 1.3× 203 1.1× 11 0.5× 23 1.2× 9 0.5× 17 563
Annalisa Marsico Germany 11 436 1.1× 249 1.3× 19 0.9× 20 1.1× 50 2.8× 17 528
Chunshen Long China 11 246 0.6× 48 0.3× 13 0.6× 15 0.8× 21 1.2× 22 309
Jiu-Xin Tan China 7 452 1.2× 70 0.4× 12 0.5× 24 1.3× 12 0.7× 8 502

Countries citing papers authored by Cong Pian

Since Specialization
Citations

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

Fields of papers citing papers by Cong Pian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cong Pian

This figure shows the co-authorship network connecting the top 25 collaborators of Cong Pian. A scholar is included among the top collaborators of Cong Pian 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 Cong Pian. Cong Pian 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.
Shen, Hong, Yanru Li, Xiaofang Xu, et al.. (2025). Unveiling novel antimicrobial peptides from the ruminant gastrointestinal microbiomes: A deep learning-driven approach yields an anti-MRSA candidate. Journal of Advanced Research. 77. 821–835. 4 indexed citations
2.
Li, Yanru, Xiaofang Xu, Ruiyu Zhu, et al.. (2025). BroadAMP-GPT: AI-Driven generation of broad-spectrum antimicrobial peptides for combating multidrug-resistant ESKAPE pathogens. Gut Microbes. 17(1). 2523811–2523811. 2 indexed citations
3.
Zhang, Yuan, Yang Sun, Lixiang Wang, et al.. (2024). On-site SERS analysis and intelligent multi-identification of fentanyl class substances by deep machine learning. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 325. 125090–125090. 3 indexed citations
4.
Zhang, Yuan, et al.. (2024). Exploring Novel Fentanyl Analogues Using a Graph-Based Transformer Model. Interdisciplinary Sciences Computational Life Sciences. 16(3). 712–726. 3 indexed citations
5.
Xu, Mingmin, et al.. (2022). MiRLoc: predicting miRNA subcellular localization by incorporating miRNA–mRNA interactions and mRNA subcellular localization. Briefings in Bioinformatics. 23(2). 14 indexed citations
6.
7.
8.
Pian, Cong, et al.. (2021). Identifying RNA N6-Methyladenine Sites in Three Species Based on a Markov Model. Frontiers in Genetics. 12. 650803–650803. 7 indexed citations
9.
Jiang, Hangjin, Lingpeng Kong, Yuanyuan Chen, et al.. (2021). Deep6mA: A deep learning framework for exploring similar patterns in DNA N6-methyladenine sites across different species. PLoS Computational Biology. 17(2). e1008767–e1008767. 44 indexed citations
10.
Kong, Lingpeng, Yuanyuan Chen, Fengjiao Xu, et al.. (2021). Mining influential genes based on deep learning. BMC Bioinformatics. 22(1). 27–27. 6 indexed citations
11.
Chen, Yuanyuan, Xiaodan Fan, & Cong Pian. (2021). Identifying Functional Modules Using Energy Minimization with Graph Cuts. Current Bioinformatics. 16(10). 1236–1243. 1 indexed citations
12.
13.
Pian, Cong, et al.. (2020). Discovering Cancer-Related miRNAs from miRNA-Target Interactions by Support Vector Machines. Molecular Therapy — Nucleic Acids. 19. 1423–1433. 11 indexed citations
14.
Pian, Cong, et al.. (2019). MM-6mAPred: identifying DNA N6-methyladenine sites based on Markov model. Bioinformatics. 36(2). 388–392. 61 indexed citations
15.
Pian, Cong, Zhi Chen, Jin Zhang, et al.. (2018). Identification of cancer-related miRNA-lncRNA biomarkers using a basic miRNA-lncRNA network. PLoS ONE. 13(5). e0196681–e0196681. 54 indexed citations
16.
Pian, Cong, et al.. (2018). Discovering the ‘Dark matters’ in expression data of miRNA based on the miRNA-mRNA and miRNA-lncRNA networks. BMC Bioinformatics. 19(1). 379–379. 2 indexed citations
17.
Pian, Cong, et al.. (2018). LncCeRBase: a database of experimentally validated human competing endogenous long non-coding RNAs. Database. 2018. 29 indexed citations
18.
Pian, Cong, Yuanyuan Chen, Zhi Chen, et al.. (2017). V-ELMpiRNAPred: Identification of human piRNAs by the voting-based extreme learning machine (V-ELM) with a new hybrid feature. Journal of Bioinformatics and Computational Biology. 15(1). 1650046–1650046. 8 indexed citations
19.
Pian, Cong, Zhi Chen, Yuanyuan Chen, et al.. (2016). LncRNApred: Classification of Long Non-Coding RNAs and Protein-Coding Transcripts by the Ensemble Algorithm with a New Hybrid Feature. PLoS ONE. 11(5). e0154567–e0154567. 40 indexed citations
20.
Zhang, Jin, Yuanyuan Chen, Qiang Li, et al.. (2014). Promoter recognition based on the maximum entropy hidden Markov model. Computers in Biology and Medicine. 51. 73–81. 4 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Juanjuan Kang Breakdown of academic impact, for papers by Piyush B. Madhamshettiwar Breakdown of academic impact, for papers by Shuye Tian Breakdown of academic impact, for papers by Santhilata Kuppili Venkata Breakdown of academic impact, for papers by Yizhu Lin Breakdown of academic impact, for papers by Joel Nulsen Breakdown of academic impact, for papers by Ploy N. Pratanwanich Breakdown of academic impact, for papers by Annalisa Marsico Breakdown of academic impact, for papers by Chunshen Long Breakdown of academic impact, for papers by Jiu-Xin Tan
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