Chandan Kumar Verma

645 total citations
34 papers, 458 citations indexed

About

Chandan Kumar Verma is a scholar working on Molecular Biology, Management Science and Operations Research and Artificial Intelligence. According to data from OpenAlex, Chandan Kumar Verma has authored 34 papers receiving a total of 458 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 8 papers in Management Science and Operations Research and 6 papers in Artificial Intelligence. Recurrent topics in Chandan Kumar Verma's work include Stock Market Forecasting Methods (7 papers), Gene expression and cancer classification (7 papers) and Blind Source Separation Techniques (5 papers). Chandan Kumar Verma is often cited by papers focused on Stock Market Forecasting Methods (7 papers), Gene expression and cancer classification (7 papers) and Blind Source Separation Techniques (5 papers). Chandan Kumar Verma collaborates with scholars based in India and Saudi Arabia. Chandan Kumar Verma's co-authors include Namita Srivastava, Rabia Musheer Aziz, Manoj K. Jha, Afzal Hussain, Afzal Hussain, Afzal Hussain, K. K. Pandey, Sujan Majumder, Vijaya Rani and Priya Singh and has published in prestigious journals such as SHILAP Revista de lepidopterología, Artificial Intelligence Review and Arabian Journal of Chemistry.

In The Last Decade

Chandan Kumar Verma

27 papers receiving 434 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chandan Kumar Verma India 10 215 206 53 39 38 34 458
K. V. Prema India 11 117 0.5× 84 0.4× 75 1.4× 54 1.4× 26 0.7× 55 521
Yuanting Yan China 12 209 1.0× 229 1.1× 49 0.9× 40 1.0× 28 0.7× 35 507
Jelili Oyelade Nigeria 12 225 1.0× 109 0.5× 27 0.5× 47 1.2× 17 0.4× 49 569
N. V. Subba Reddy India 18 211 1.0× 148 0.7× 188 3.5× 66 1.7× 63 1.7× 76 993
Nasser Ghadiri Iran 11 265 1.2× 172 0.8× 29 0.5× 39 1.0× 14 0.4× 30 514
Shweta Yadav India 11 96 0.4× 203 1.0× 26 0.5× 38 1.0× 9 0.2× 34 322
Lars Asker Sweden 12 204 0.9× 395 1.9× 38 0.7× 42 1.1× 41 1.1× 35 547
Vishan Kumar Gupta India 13 27 0.1× 110 0.5× 30 0.6× 68 1.7× 42 1.1× 67 466

Countries citing papers authored by Chandan Kumar Verma

Since Specialization
Citations

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

Fields of papers citing papers by Chandan Kumar Verma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chandan Kumar Verma. 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 Chandan Kumar Verma. The network helps show where Chandan Kumar Verma may publish in the future.

Co-authorship network of co-authors of Chandan Kumar Verma

This figure shows the co-authorship network connecting the top 25 collaborators of Chandan Kumar Verma. A scholar is included among the top collaborators of Chandan Kumar Verma 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 Chandan Kumar Verma. Chandan Kumar Verma 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.
Verma, Chandan Kumar, et al.. (2025). An Attention-Driven Bi-GRU Framework for India VIX Prediction. 1–5.
2.
Verma, Chandan Kumar, et al.. (2025). G-PINNs: A Bayesian-Optimized GRU-Enhanced Physics-Informed Neural Network for Advancing Short Rate Model Predictions. Engineering Analysis with Boundary Elements. 179. 106396–106396.
3.
Verma, Neetu, et al.. (2025). Immunoinformatics: Expanding frontiers and emerging tools in bioinformatics for immunology. Indian Journal of Physiology and Pharmacology. 70. 1–8.
5.
Verma, Chandan Kumar, et al.. (2025). Computational modelling of a multiepitope vaccine targeting glycoprotein-D for herpes simplex virus 2 (HSV-2): an immunoinformatic analysis. Molecular Diversity. 29(6). 6401–6423. 1 indexed citations
7.
Verma, Chandan Kumar, et al.. (2024). Enhancing Option Pricing Accuracy in the Indian Market: A CNN-BiLSTM Approach. Computational Economics. 65(6). 3751–3778. 5 indexed citations
9.
Anbalagan, Pratap, et al.. (2023). Assessment of bee flora and development of a floral calendar in relation to pharmaceutical potential of honey and bee pollen in Eastern Uttar Pradesh, Indias. Annals of Phytomedicine An International Journal. 12(1). 2 indexed citations
11.
Verma, Chandan Kumar, et al.. (2020). Nigella Sativa: An Immunity Booster as Pandemic Treatment Solution Against SARS-CoV-2. Coronaviruses. 2(7). 2 indexed citations
13.
Verma, Chandan Kumar, et al.. (2019). A Hybrid Forecasting Model for Option Price Prediction using Machine Learning Technique. International Journal of Innovative Technology and Exploring Engineering. 9(1). 3444–3450. 1 indexed citations
14.
Verma, Chandan Kumar, et al.. (2019). Prediction of Option Price using Ensemble of Machine Learning Algorithms for Indian Stock Market. International Journal of Recent Technology and Engineering (IJRTE). 8(2). 3231–3241. 5 indexed citations
15.
Verma, Chandan Kumar, et al.. (2017). Molecular docking and in silico ADMET study reveals 3-(5-{[4-(aminomethyl) piperidin-1-yl] methyl}-1h-indol-2-yl)-1h-indazole-6-carbonitrile as a potential inhibitor of cancer Osaka thyroid kinase. Biomedical Research-tokyo. 28(13). 5805–5815. 5 indexed citations
16.
Aziz, Rabia Musheer, Chandan Kumar Verma, & Namita Srivastava. (2017). Dimension reduction methods for microarray data: a review. AIMS bioengineering. 4(2). 179–197. 24 indexed citations
17.
Aziz, Rabia Musheer, Chandan Kumar Verma, & Namita Srivastava. (2017). Dimension reduction methods for microarray data: a review. SHILAP Revista de lepidopterología. 4(1). 179–197. 42 indexed citations
18.
Aziz, Rabia Musheer, Chandan Kumar Verma, & Namita Srivastava. (2017). A novel approach for dimension reduction of microarray. Computational Biology and Chemistry. 71. 161–169. 61 indexed citations
19.
Aziz, Rabia Musheer, Chandan Kumar Verma, & Namita Srivastava. (2016). A fuzzy based feature selection from independent component subspace for machine learning classification of microarray data. Genomics Data. 8. 4–15. 84 indexed citations
20.
Hussain, Afzal, et al.. (2015). Identification of novel inhibitors against Cyclin Dependent Kinase 9/Cyclin T1 complex as: Anti cancer agent. Saudi Journal of Biological Sciences. 24(6). 1229–1242. 10 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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