Tarun Jain

1.7k total citations
107 papers, 1.2k citations indexed

About

Tarun Jain is a scholar working on Artificial Intelligence, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Tarun Jain has authored 107 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 19 papers in Surgery and 16 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Tarun Jain's work include Sentiment Analysis and Opinion Mining (12 papers), Artificial Intelligence in Healthcare (6 papers) and Adrenal and Paraganglionic Tumors (5 papers). Tarun Jain is often cited by papers focused on Sentiment Analysis and Opinion Mining (12 papers), Artificial Intelligence in Healthcare (6 papers) and Adrenal and Paraganglionic Tumors (5 papers). Tarun Jain collaborates with scholars based in India, United States and United Kingdom. Tarun Jain's co-authors include B. Jayaram, Rohit Karnik, Ricardo Guerrero, Juan Carlos Idrobo, Michael S. H. Boutilier, Sean C. O’Hern, Vivek Kumar Verma, Carlos A. Aguilar, Bhagwant Rai Mittal and Punit Sharma and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and Nature Nanotechnology.

In The Last Decade

Tarun Jain

91 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tarun Jain India 16 310 296 191 146 129 107 1.2k
Jun Tang China 27 709 2.3× 336 1.1× 98 0.5× 66 0.5× 251 1.9× 160 2.3k
Hiroyuki Kurata Japan 31 2.2k 7.2× 219 0.7× 142 0.7× 103 0.7× 87 0.7× 163 3.0k
Juan Meng China 20 243 0.8× 262 0.9× 103 0.5× 114 0.8× 91 0.7× 63 1.1k
Jingyi Jin China 21 366 1.2× 173 0.6× 152 0.8× 88 0.6× 32 0.2× 103 1.4k
Mika Sato Japan 19 270 0.9× 162 0.5× 50 0.3× 168 1.2× 80 0.6× 58 1.2k
Mingyan Zhang China 21 524 1.7× 524 1.8× 298 1.6× 765 5.2× 44 0.3× 85 2.1k
Wei Ouyang China 18 664 2.1× 275 0.9× 110 0.6× 77 0.5× 71 0.6× 53 1.7k
Xinmei Wang China 23 170 0.5× 136 0.5× 133 0.7× 242 1.7× 393 3.0× 174 1.5k
Chao Duan China 22 761 2.5× 151 0.5× 159 0.8× 131 0.9× 85 0.7× 102 1.8k
Sheng‐Hung Wang Taiwan 18 356 1.1× 113 0.4× 101 0.5× 97 0.7× 105 0.8× 65 1.0k

Countries citing papers authored by Tarun Jain

Since Specialization
Citations

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

Fields of papers citing papers by Tarun Jain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tarun Jain

This figure shows the co-authorship network connecting the top 25 collaborators of Tarun Jain. A scholar is included among the top collaborators of Tarun Jain 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 Tarun Jain. Tarun Jain 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.
Jain, Tarun, et al.. (2025). Sentiment Analysis of Movie Reviews Using Machine Learning. 41–45.
3.
De, Kalyan, et al.. (2023). Effect of simulated summer environment on growing lambs under hot semi-arid tropical region. Journal of Veterinary Behavior. 66. 29–34. 2 indexed citations
4.
Jain, Tarun, et al.. (2023). Comparison of Artificial Decision Techniques for Detection of Sarcastic News Headlines. International Journal of Cyber Behavior Psychology and Learning. 13(1). 1–12. 1 indexed citations
5.
Jain, Tarun, et al.. (2023). Segmenting Personal Protective Equipment Using Mask R-CNN. 1–6. 3 indexed citations
6.
Jain, Tarun, Vivek Kumar Verma, Akhilesh Sharma, et al.. (2023). Sentiment Analysis on COVID-19 Vaccine Tweets using Machine Learning and Deep Learning Algorithms. International Journal of Advanced Computer Science and Applications. 14(5). 7 indexed citations
7.
Sinha, Aditya, et al.. (2022). Novel approach for quantification for severity estimation of blight diseases on leaves of tomato plant. Expert Systems. 40(5). 3 indexed citations
8.
Jain, Tarun, et al.. (2022). Sentiment Analysis of Amazon Smartphone Reviews Using Machine Learning & Deep Learning. 1–4. 10 indexed citations
9.
Jain, Tarun, Harmandeep Singh, Rajender Kumar, et al.. (2020). Real Time F-18 FDG PET-CT-Guided Metabolic Biopsy Targeting Differential FDG Avidity in a Pulmonary Blastoma. Nuclear Medicine and Molecular Imaging. 54(5). 261–263. 1 indexed citations
10.
Jain, Tarun, et al.. (2017). Microfluidic multiplexing of solid-state nanopores. Journal of Physics Condensed Matter. 29(48). 484001–484001. 5 indexed citations
11.
Jain, Tarun, et al.. (2016). “Pine tree” appearance on 18F-FDG PET/CT MIP image in spinal tuberculosis. Revista Española de Medicina Nuclear e Imagen Molecular. 36(2). 122–123. 2 indexed citations
12.
Jain, Tarun, et al.. (2015). Genetic Algorithm as a General Approach to Time Tabling Problem. European Journal of Business and Management. 7(4). 7–11.
13.
Jain, Tarun, et al.. (2015). 18F-FDG PET/CT in diagnosis and response evaluation in an unusual case of antisynthetase syndrome presenting as pyrexia of unknown origin. Revista Española de Medicina Nuclear e Imagen Molecular. 35(3). 197–199. 2 indexed citations
14.
Jain, Tarun, et al.. (2015). Follow-up 99mTc EC renal dynamic scintigraphy and DMSA-III SPECT/CT in unmasking a masqueraded case of Horseshoe kidney. Revista Española de Medicina Nuclear e Imagen Molecular. 34(6). 387–389.
15.
Karunanithi, Sellam, Tarun Jain, Krishan Kant Agarwal, Chandrasekhar Bal, & Rakesh Kumar. (2014). 99mTc-MDP three phase bone scan for early diagnosis and treatment response monitoring in complex regional pain syndrome. Revista Española de Medicina Nuclear e Imagen Molecular. 34(1). 62–63. 1 indexed citations
16.
Jain, Tarun, et al.. (2013). Primary central nervous system lymphoma with lymphomatosis cerebri in an immunocompetent child: MRI and 18F-FDG PET-CT findings. Revista Española de Medicina Nuclear e Imagen Molecular. 32(6). 394–396. 6 indexed citations
17.
Bal, Chandrasekhar, et al.. (2012). ‘Hockey stick’ sign on 99m Technetium pertechnetate thyroid scan. Indian Journal of Endocrinology and Metabolism. 16(6). 1056–1056. 1 indexed citations
18.
Jain, Tarun, et al.. (2012). Enhanced discrimination of DNA molecules in nanofluidic channels through multiple measurements. Lab on a Chip. 12(6). 1094–1094. 26 indexed citations
19.
Sharma, Sanjay, et al.. (2010). Zero Order Spectrophotometric Method for Estimation of Escitalopram Oxalate in Tablet Formulations. Journal of Young Pharmacists. 2(4). 420–423. 11 indexed citations
20.
Chopra, Puneet, Tarun Jain, Manish Kumar Jain, et al.. (2009). Human spleen tyrosine kinase (Syk) recombinant expression systems for high‐throughput assays. Biotechnology Journal. 5(2). 201–212. 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.

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