Avinash Kumar Jha

733 total citations
29 papers, 477 citations indexed

About

Avinash Kumar Jha is a scholar working on Molecular Biology, Pollution and Artificial Intelligence. According to data from OpenAlex, Avinash Kumar Jha has authored 29 papers receiving a total of 477 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Pollution and 4 papers in Artificial Intelligence. Recurrent topics in Avinash Kumar Jha's work include Wastewater Treatment and Nitrogen Removal (4 papers), Bacterial biofilms and quorum sensing (4 papers) and African Botany and Ecology Studies (2 papers). Avinash Kumar Jha is often cited by papers focused on Wastewater Treatment and Nitrogen Removal (4 papers), Bacterial biofilms and quorum sensing (4 papers) and African Botany and Ecology Studies (2 papers). Avinash Kumar Jha collaborates with scholars based in India, China and Australia. Avinash Kumar Jha's co-authors include Jianzheng Li, Jiuling Li, Han Yan, Surendrabikram Thapa, Ravi Butola, Jia Meng, Yafei Zhang, Surabhi Adhikari, Yupeng Zhang and Fengqin Liu and has published in prestigious journals such as The Science of The Total Environment, Bioresource Technology and Lecture notes in computer science.

In The Last Decade

Avinash Kumar Jha

27 papers receiving 449 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Avinash Kumar Jha India 12 90 81 78 77 63 29 477
Rong Ye China 17 113 1.3× 45 0.6× 57 0.7× 24 0.3× 41 0.7× 62 1.1k
Wenying Zhu China 11 48 0.5× 225 2.8× 26 0.3× 57 0.7× 82 1.3× 24 761
J.I.R. Blake United Kingdom 17 54 0.6× 99 1.2× 19 0.2× 216 2.8× 38 0.6× 76 775
Zia Ullah China 22 39 0.4× 271 3.3× 22 0.3× 58 0.8× 40 0.6× 89 1.8k
Xiaoling Liu China 8 149 1.7× 61 0.8× 69 0.9× 25 0.3× 12 0.2× 43 401
Xiaoqing Yu China 14 104 1.2× 45 0.6× 27 0.3× 33 0.4× 33 0.5× 106 622
Shan Zhou China 15 20 0.2× 43 0.5× 80 1.0× 204 2.6× 24 0.4× 43 782
R. Mohanasundaram India 8 214 2.4× 56 0.7× 37 0.5× 23 0.3× 23 0.4× 22 442
Jingyi Li China 14 95 1.1× 41 0.5× 20 0.3× 59 0.8× 31 0.5× 42 922
Kehinde O. Olatunji South Africa 12 249 2.8× 21 0.3× 51 0.7× 37 0.5× 38 0.6× 39 577

Countries citing papers authored by Avinash Kumar Jha

Since Specialization
Citations

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

Fields of papers citing papers by Avinash Kumar Jha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Avinash Kumar Jha

This figure shows the co-authorship network connecting the top 25 collaborators of Avinash Kumar Jha. A scholar is included among the top collaborators of Avinash Kumar 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 Avinash Kumar Jha. Avinash Kumar Jha 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
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Gupta, Arun Kumar, Aditya Choudhary, Avinash Kumar Jha, et al.. (2024). Structural and functional insights into Dioscorea esculenta (Suthni) flour: a comparative analysis with potato flour for potential application in bakery product. Journal of Food Measurement & Characterization. 18(11). 9307–9329. 4 indexed citations
4.
Gupta, Arun Kumar, Nurrulhidayah Ahmad Fadzillah, Muzamil Ahmad Rather, et al.. (2024). Slaughterhouse blood: A state-of-the-art review on transforming by-products into valuable nutritional resources and the role of circular economy. Food Bioscience. 61. 104644–104644. 10 indexed citations
5.
Leal, Anjali, Sadhna Mishra, Nandini Pathak, et al.. (2024). State-of-the-art non-destructive approaches for maturity index determination in fruits and vegetables: principles, applications, and future directions. Food Production Processing and Nutrition. 6(1). 32 indexed citations
6.
Ismail, Balarabe B., Avinash Kumar Jha, Bindu Naik, et al.. (2024). Himalayan fruit and circular economy: nutraceutical potential, traditional uses, challenges and opportunities. Food Production Processing and Nutrition. 6(1). 7 indexed citations
7.
Gupta, Khushi, Avinash Kumar Jha, Jayant Jagtap, et al.. (2024). Deep Learning Framework for Liver Tumor Segmentation. EAI Endorsed Transactions on Pervasive Health and Technology. 10. 1 indexed citations
8.
Gupta, Arun Kumar, Aditya Choudhary, Avinash Kumar Jha, et al.. (2023). Comprehensive review of sustainable utilization of Arenga obtusifolia Griff. as a food. Journal of Agriculture and Food Research. 15. 100945–100945. 1 indexed citations
9.
Jha, Avinash Kumar, et al.. (2022). Speckle pattern analysis of security holograms and related foils for quality assessment and authentication. Open Access Institutional Repository at Robert Gordon University (Robert Gordon University). 14. 8–8. 1 indexed citations
10.
Yan, Han, Jianzheng Li, Jia Meng, et al.. (2021). Insight into the effect of N-acyl-homoserine lactones-mediated quorum sensing on the microbial social behaviors in a UASB with the regulation of alkalinity. The Science of The Total Environment. 800. 149413–149413. 35 indexed citations
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Li, Jianzheng, Han Yan, Jia Meng, et al.. (2021). Performance of anaerobic sludge and the microbial social behaviors induced by quorum sensing in a UASB after a shock loading. Bioresource Technology. 330. 124972–124972. 48 indexed citations
13.
Jha, Avinash Kumar, et al.. (2021). A Review of AI for Urban Planning: Towards Building Sustainable Smart Cities. 937–944. 26 indexed citations
14.
Yan, Han, et al.. (2021). A mixed culture performing nitrite-dependent anaerobic methane oxidation and the nitrite removal mechanism revealed by high-throughput sequencing. Environmental Engineering Research. 27(4). 210135–0. 2 indexed citations
15.
Thapa, Surendrabikram, et al.. (2020). Accelerating Business Growth with Big Data and Artificial Intelligence. 2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC). 441–448. 33 indexed citations
16.
Thapa, Surendrabikram, et al.. (2020). AI and IoT Solutions for Tackling COVID-19 Pandemic. 2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA). 1083–1092. 31 indexed citations
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Kumar, Amit, et al.. (2020). Crack Detection of Structures using Deep Learning Framework. 526–533. 16 indexed citations
18.
Zhang, Yupeng, Jianzheng Li, Fengqin Liu, et al.. (2018). Specific quorum sensing signal molecules inducing the social behaviors of microbial populations in anaerobic digestion. Bioresource Technology. 273. 185–195. 73 indexed citations
19.
Jha, Avinash Kumar, et al.. (2016). A SDR based trans-receiver for communication of image and video. 1. 249–253. 3 indexed citations
20.
Jha, Avinash Kumar, et al.. (2010). Body Area Network (BAN) with OFDM Enhances Data Transmission in Wireless Health Monitoring Systems (WHMS). Lecture notes in computer science. 2183(1). 797–801. 1 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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