Kanchan Jha

499 total citations
12 papers, 290 citations indexed

About

Kanchan Jha is a scholar working on Molecular Biology, Computational Theory and Mathematics and Control and Systems Engineering. According to data from OpenAlex, Kanchan Jha has authored 12 papers receiving a total of 290 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Computational Theory and Mathematics and 3 papers in Control and Systems Engineering. Recurrent topics in Kanchan Jha's work include Machine Learning in Bioinformatics (8 papers), Bioinformatics and Genomic Networks (7 papers) and Protein Structure and Dynamics (4 papers). Kanchan Jha is often cited by papers focused on Machine Learning in Bioinformatics (8 papers), Bioinformatics and Genomic Networks (7 papers) and Protein Structure and Dynamics (4 papers). Kanchan Jha collaborates with scholars based in India, United Kingdom and United States. Kanchan Jha's co-authors include Sriparna Saha, Sriparna Saha, Abdul Gafoor Shaik, M. Tanveer, Snehanshu Saha, Sanjeev Kumar Gupta and Pratik Dutta and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Applied Soft Computing.

In The Last Decade

Kanchan Jha

11 papers receiving 285 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kanchan Jha India	7	161	93	75	26	19	12	290
Mario Garza-Fabre Mexico	11	67 0.4×	93 1.0×	116 1.5×	16 0.6×	6 0.3×	18	207
Jessen Yu United States	8	125 0.8×	55 0.6×	161 2.1×	21 0.8×	64 3.4×	14	282
Florina Piroi Austria	6	23 0.1×	53 0.6×	112 1.5×	27 1.0×	17 0.9×	48	209
Qinghua Zou United States	9	69 0.4×	37 0.4×	136 1.8×	8 0.3×	4 0.2×	24	255
C.-Y. Kao Taiwan	7	137 0.9×	65 0.7×	104 1.4×	10 0.4×	8 0.4×	8	284
Nanda Dulal Jana India	9	28 0.2×	43 0.5×	145 1.9×	13 0.5×	14 0.7×	51	246
Cong Shen China	12	243 1.5×	92 1.0×	32 0.4×	4 0.2×	6 0.3×	26	350
Jiancheng Ni China	12	277 1.7×	20 0.2×	47 0.6×	16 0.6×	2 0.1×	38	404
Pablo A. D. Castro Brazil	11	69 0.4×	26 0.3×	153 2.0×	10 0.4×	9 0.5×	26	281

Countries citing papers authored by Kanchan Jha

Since Specialization

Citations

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

Fields of papers citing papers by Kanchan Jha

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kanchan Jha

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

All Works

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12 of 12 papers shown

Jha, Kanchan, et al.. (2023). Graph-BERT and language model-based framework for protein–protein interaction identification. Scientific Reports. 13(1). 38 indexed citations

Jha, Kanchan & Abdul Gafoor Shaik. (2023). Modified LMF Adaptive Control of Weak AC Grid with High Penetration of Solar Energy. 1–6.

Jha, Kanchan, et al.. (2023). Prediction of Protein-Protein Interactions Using Vision Transformer and Language Model. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 20(5). 3215–3225. 9 indexed citations

Jha, Kanchan & Abdul Gafoor Shaik. (2023). A comprehensive review of power quality mitigation in the scenario of solar PV integration into utility grid. SHILAP Revista de lepidopterología. 3. 100103–100103. 30 indexed citations

Jha, Kanchan, et al.. (2022). Prediction of protein–protein interaction using graph neural networks. Scientific Reports. 12(1). 8360–8360. 115 indexed citations

Jha, Kanchan, Sriparna Saha, & Pratik Dutta. (2022). Incorporation of gene ontology in identification of protein interactions from biomedical corpus: a multi-modal approach. Annals of Operations Research. 339(3). 1793–1811. 1 indexed citations

Jha, Kanchan & Sriparna Saha. (2022). Analyzing Effect of Multi-Modality in Predicting Protein-Protein Interactions. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 20(1). 162–173. 5 indexed citations

Gupta, Sanjeev Kumar, et al.. (2022). IOT Network Feature Based Intrusion Detection Techniques- Review. 1–5. 1 indexed citations

Jha, Kanchan, Sriparna Saha, & M. Tanveer. (2021). Prediction of protein‐protein interactions using stacked auto‐encoder. Transactions on Emerging Telecommunications Technologies. 33(10). 8 indexed citations

10.

Jha, Kanchan, Sriparna Saha, & Snehanshu Saha. (2021). Prediction of Protein-Protein Interactions using Deep Multi-Modal Representations. 1–8. 3 indexed citations

11.

Jha, Kanchan & Sriparna Saha. (2020). Amalgamation of 3D structure and sequence information for protein–protein interaction prediction. Scientific Reports. 10(1). 19171–19171. 26 indexed citations

12.

Jha, Kanchan & Sriparna Saha. (2020). Incorporation of multimodal multiobjective optimization in designing a filter based feature selection technique. Applied Soft Computing. 98. 106823–106823. 54 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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