Peng Ni

1.8k total citations
46 papers, 1.2k citations indexed

About

Peng Ni is a scholar working on Molecular Biology, Plant Science and Ecology. According to data from OpenAlex, Peng Ni has authored 46 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 14 papers in Plant Science and 11 papers in Ecology. Recurrent topics in Peng Ni's work include Genomics and Phylogenetic Studies (10 papers), Plant Virus Research Studies (10 papers) and Bacteriophages and microbial interactions (10 papers). Peng Ni is often cited by papers focused on Genomics and Phylogenetic Studies (10 papers), Plant Virus Research Studies (10 papers) and Bacteriophages and microbial interactions (10 papers). Peng Ni collaborates with scholars based in China, United States and Canada. Peng Ni's co-authors include Jianxin Wang, Feng Luo, Neng Huang, C. Cheng Kao, Fang‐Xiang Wu, Yi Pan, Chuan‐Le Xiao, Bogdan Dragnea, Robert C. Vaughan and Cuiping Li and has published in prestigious journals such as Nature Communications, Bioinformatics and Journal of Molecular Biology.

In The Last Decade

Peng Ni

46 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Peng Ni China	19	588	265	228	215	132	46	1.2k
Michael R. Leuze United States	13	627 1.1×	162 0.6×	114 0.5×	210 1.0×	170 1.3×	32	1.3k
Marie-France Sagot France	18	1.0k 1.8×	209 0.8×	97 0.4×	147 0.7×	206 1.6×	57	1.4k
Guojun Li China	19	849 1.4×	140 0.5×	212 0.9×	91 0.4×	75 0.6×	93	1.4k
Ilya Shlyakhter United States	14	689 1.2×	291 1.1×	161 0.7×	174 0.8×	228 1.7×	19	1.5k
Zhihua Du United States	27	1.1k 1.8×	102 0.4×	396 1.7×	101 0.5×	509 3.9×	86	1.9k
T. M. Murali United States	22	1.9k 3.2×	130 0.5×	307 1.3×	72 0.3×	398 3.0×	74	2.7k
Kyungsook Han South Korea	25	1.5k 2.5×	78 0.3×	177 0.8×	97 0.5×	130 1.0×	100	1.8k
Zheng Rong Yang United Kingdom	19	940 1.6×	78 0.3×	213 0.9×	56 0.3×	253 1.9×	94	1.9k
Chuan Yi Tang Taiwan	23	596 1.0×	101 0.4×	384 1.7×	52 0.2×	249 1.9×	145	1.7k
Ana T. Freitas Portugal	19	1.0k 1.7×	143 0.5×	54 0.2×	62 0.3×	91 0.7×	44	1.5k

Countries citing papers authored by Peng Ni

Since Specialization

Citations

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

Fields of papers citing papers by Peng Ni

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peng Ni

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Nie, Fan, Peng Ni, Neng Huang, et al.. (2024). De novo diploid genome assembly using long noisy reads. Nature Communications. 15(1). 2964–2964. 9 indexed citations

Li, Chenghai, et al.. (2023). Network Security Situation Prediction Based on TCAN-BiGRU Optimized by SSA and IQPSO. Computer Systems Science and Engineering. 47(1). 993–1021. 2 indexed citations

Ni, Peng, Fan Nie, Zeyu Zhong, et al.. (2023). DNA 5-methylcytosine detection and methylation phasing using PacBio circular consensus sequencing. Nature Communications. 14(1). 4054–4054. 48 indexed citations

Zhao, Haochen, Peng Ni, Qichang Zhao, et al.. (2023). Identifying the serious clinical outcomes of adverse reactions to drugs by a multi-task deep learning framework. Communications Biology. 6(1). 870–870. 13 indexed citations

Liu, Gang, et al.. (2023). Lightweight object detection algorithm for robots with improved YOLOv5. Engineering Applications of Artificial Intelligence. 123. 106217–106217. 84 indexed citations

Zhang, Ke, et al.. (2022). Vitamin D deficiency in dengue fever patients' coinfected with H. pylori in Pakistan. A case-control study. Frontiers in Public Health. 10. 1035560–1035560. 6 indexed citations

Huang, Neng, Minghua Xu, Peng Ni, et al.. (2022). NanoSNP: a progressive and haplotype-aware SNP caller on low-coverage nanopore sequencing data. Bioinformatics. 39(1). 6 indexed citations

Ni, Peng, et al.. (2021). Obese rats intervened with Rhizoma coptidis revealed differential gene expression and microbiota by serum metabolomics. BMC Complementary Medicine and Therapies. 21(1). 208–208. 9 indexed citations

Ni, Peng, Neng Huang, Fan Nie, et al.. (2021). Genome-wide detection of cytosine methylations in plant from Nanopore data using deep learning. Nature Communications. 12(1). 5976–5976. 63 indexed citations

10.

Lian, Hairong, et al.. (2021). Inaccurate-Supervised Learning With Generative Adversarial Nets. IEEE Transactions on Cybernetics. 53(3). 1522–1536. 10 indexed citations

11.

Zhao, Haochen, Peng Ni, Cheng Yan, Yaohang Li, & Jianxin Wang. (2020). A novel approach based on deep residual learning to predict drug’s anatomical therapeutic chemical code. 921–926. 4 indexed citations

12.

Ni, Peng, Neng Huang, Zhi Zhang, et al.. (2019). DeepSignal: detecting DNA methylation state from Nanopore sequencing reads using deep-learning. Bioinformatics. 35(22). 4586–4595. 166 indexed citations

13.

Li, Qingzhou, et al.. (2016). The Application of Ad-Hoc Network in Smart Container Tracking System. 2068–2072. 6 indexed citations

14.

Fan, Baochang, Peng Ni, & C. Cheng Kao. (2015). Mapping RNA Interactions to Proteins in Virions Using CLIP-Seq. Methods in molecular biology. 1297. 213–224. 1 indexed citations

15.

Ni, Peng, et al.. (2013). The Plant Host Can Affect the Encapsidation of Brome Mosaic Virus (BMV) RNA: BMV Virions Are Surprisingly Heterogeneous. Journal of Molecular Biology. 426(5). 1061–1076. 38 indexed citations

16.

Ni, Peng & C. Cheng Kao. (2013). Non-encapsidation activities of the capsid proteins of positive-strand RNA viruses. Virology. 446(1-2). 123–132. 41 indexed citations

17.

Liu, Zhen, et al.. (2013). Development Novel Organization Structure of Wireless Sensor Network Protocol Based on ZigBee Technology. 2 indexed citations

18.

Ni, Peng, Zhao Wang, Xiang Ma, et al.. (2012). An Examination of the Electrostatic Interactions between the N-Terminal Tail of the Brome Mosaic Virus Coat Protein and Encapsidated RNAs. Journal of Molecular Biology. 419(5). 284–300. 72 indexed citations

19.

Kao, C. Cheng, Peng Ni, M. Hema, Xinlei Huang, & Bogdan Dragnea. (2010). The coat protein leads the way: an update on basic and applied studies with the Brome mosaic virus coat protein. Molecular Plant Pathology. 12(4). 403–412. 33 indexed citations

20.

Hema, M., Ayaluru Murali, Peng Ni, et al.. (2010). Effects of Amino-Acid Substitutions in the Brome mosaic virus Capsid Protein on RNA Encapsidation. Molecular Plant-Microbe Interactions. 23(11). 1433–1447. 26 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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