Nini Rao

2.4k total citations
86 papers, 1.7k citations indexed

About

Nini Rao is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Cognitive Neuroscience. According to data from OpenAlex, Nini Rao has authored 86 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 14 papers in Cardiology and Cardiovascular Medicine and 14 papers in Cognitive Neuroscience. Recurrent topics in Nini Rao's work include EEG and Brain-Computer Interfaces (12 papers), Colorectal Cancer Screening and Detection (11 papers) and Machine Learning in Bioinformatics (10 papers). Nini Rao is often cited by papers focused on EEG and Brain-Computer Interfaces (12 papers), Colorectal Cancer Screening and Detection (11 papers) and Machine Learning in Bioinformatics (10 papers). Nini Rao collaborates with scholars based in China, Australia and Ghana. Nini Rao's co-authors include Yong Yang, Shuying Huang, Feng‐Biao Guo, Jian Huang, Dong Sun Park, Junfeng Gao, Catherine David, Tsuyoshi Kashima, James L. Manley and Hao Lin and has published in prestigious journals such as Nucleic Acids Research, Journal of Clinical Investigation and SHILAP Revista de lepidopterología.

In The Last Decade

Nini Rao

84 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nini Rao China	22	761	239	202	191	187	86	1.7k
Pengyu Hong United States	29	1.3k 1.7×	433 1.8×	96 0.5×	46 0.2×	34 0.2×	100	2.6k
Huayan Wang China	28	1.2k 1.6×	264 1.1×	39 0.2×	94 0.5×	41 0.2×	97	2.1k
Seonwoo Min South Korea	17	1.7k 2.3×	89 0.4×	123 0.6×	104 0.5×	97 0.5×	32	2.3k
Kanji Tanaka Japan	22	235 0.3×	123 0.5×	217 1.1×	30 0.2×	51 0.3×	141	1.7k
Norimichi Tsumura Japan	21	73 0.1×	728 3.0×	141 0.7×	154 0.8×	301 1.6×	276	2.0k
Byunghan Lee South Korea	12	791 1.0×	98 0.4×	148 0.7×	115 0.6×	95 0.5×	22	1.6k
Jie An China	23	694 0.9×	190 0.8×	182 0.9×	56 0.3×	205 1.1×	63	2.0k
Toshiyuki Sakai Japan	22	433 0.6×	690 2.9×	36 0.2×	16 0.1×	33 0.2×	110	2.1k
Léon-Charles Tranchevent Belgium	27	2.4k 3.1×	187 0.8×	48 0.2×	57 0.3×	34 0.2×	44	3.1k
Kyung-Ah Sohn South Korea	20	440 0.6×	314 1.3×	82 0.4×	31 0.2×	52 0.3×	95	1.3k

Countries citing papers authored by Nini Rao

Since Specialization

Citations

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

Fields of papers citing papers by Nini Rao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nini Rao

This figure shows the co-authorship network connecting the top 25 collaborators of Nini Rao. A scholar is included among the top collaborators of Nini Rao 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 Nini Rao. Nini Rao 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

Li, Xiang, Xiaotong Wang, Xiaoming Hu, et al.. (2024). BFE-Net: bilateral fusion enhanced network for gastrointestinal polyp segmentation. Biomedical Optics Express. 15(5). 2977–2977. 2 indexed citations

Rao, Nini, et al.. (2024). Towards non-invasive biomarkers in colorectal cancer management: A study on integrating radiomics and deep learning-based image processing for tumor-stroma interaction. 58–64. 2 indexed citations

Gan, Tao, et al.. (2023). Semi-Supervised Segmentation Framework for Gastrointestinal Lesion Diagnosis in Endoscopic Images. Journal of Personalized Medicine. 13(1). 118–118. 4 indexed citations

Gao, Junfeng, Lingyun Gu, Xiangde Min, et al.. (2021). Brain Fingerprinting and Lie Detection: A Study of Dynamic Functional Connectivity Patterns of Deception Using EEG Phase Synchrony Analysis. IEEE Journal of Biomedical and Health Informatics. 26(2). 600–613. 11 indexed citations

Rao, Nini, et al.. (2021). Improving the Classification Performance of Esophageal Disease on Small Dataset by Semi-supervised Efficient Contrastive Learning. Journal of Medical Systems. 46(1). 4–4. 13 indexed citations

Rao, Nini, et al.. (2021). mRBioM: An Algorithm for the Identification of Potential mRNA Biomarkers From Complete Transcriptomic Profiles of Gastric Adenocarcinoma. Frontiers in Genetics. 12. 679612–679612. 4 indexed citations

Zeng, Wei, Nini Rao, & Ke Liu. (2020). Bioinformatics analysis on lncRNA and mRNA expression profiles for novel biological features of valvular heart disease with atrial fibrillation. SHILAP Revista de lepidopterología. 19(1). 100058–100058. 1 indexed citations

Zhang, Junpeng, Taosheng Xu, Lin Liu, et al.. (2020). LMSM: A modular approach for identifying lncRNA related miRNA sponge modules in breast cancer. PLoS Computational Biology. 16(4). e1007851–e1007851. 21 indexed citations

Wei, Wen, et al.. (2016). Genomic Complexity Places Less Restrictions on the Evolution of Young Coexpression Networks than Protein–Protein Interactions. Genome Biology and Evolution. 8(8). 2624–2631. 6 indexed citations

10.

Li, Yi, Nini Rao, Feng Yang, et al.. (2014). Biocomputional construction of a gene network under acid stress in Synechocystis sp. PCC 6803. Research in Microbiology. 165(6). 420–428. 8 indexed citations

11.

Ding, Hui, Hao Lin, Wei Chen, et al.. (2014). Prediction of protein structural classes based on feature selection technique. Interdisciplinary Sciences Computational Life Sciences. 6(3). 235–240. 28 indexed citations

12.

Liu, Ning, Hao Lin, Hui Ding, et al.. (2014). Predicting bacterial essential genes using only sequence composition information. Genetics and Molecular Research. 13(2). 4564–4572. 37 indexed citations

13.

Gao, Junfeng, et al.. (2014). A Novel Algorithm to Enhance P300 in Single Trials: Application to Lie Detection Using F-Score and SVM. PLoS ONE. 9(11). e109700–e109700. 31 indexed citations

14.

Gao, Junfeng, et al.. (2013). A Novel Approach for Lie Detection Based on F-Score and Extreme Learning Machine. PLoS ONE. 8(6). e64704–e64704. 48 indexed citations

15.

Rao, Nini, et al.. (2011). Inferring an organism-specific optimal threshold for predicting protein coding regions in eukaryotes based on a bootstrapping algorithm. Biotechnology Letters. 33(5). 889–896. 4 indexed citations

16.

Rao, Nini, et al.. (2009). An efficient sliding window strategy for accurate location of eukaryotic protein coding regions. Computers in Biology and Medicine. 39(4). 392–395. 24 indexed citations

17.

Yang, Yong, Shuying Huang, & Nini Rao. (2008). An Automatic Hybrid Method for Retinal Blood Vessel Extraction. International Journal of Applied Mathematics and Computer Science. 18(3). 399–407. 74 indexed citations

18.

Rao, Nini, et al.. (2005). Design and Implementation of HL7 V3 Gateway. 1 indexed citations

19.

Li, Ling, Nini Rao, & Dezhong Yao. (2005). Discussions on "Biomedical Signal Processing": Content, teaching and training. PubMed. 20. 2867–2869. 1 indexed citations

20.

Rao, Nini. (2004). Analysis of Improved Piecewise Linear Chaotic Sequences as Spreading Codes for DS-CDMA System. Dianzi xuebao.

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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