Tejal Shah

1.7k total citations · 1 hit paper
33 papers, 922 citations indexed

About

Tejal Shah is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Tejal Shah has authored 33 papers receiving a total of 922 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 10 papers in Computer Vision and Pattern Recognition and 6 papers in Computer Networks and Communications. Recurrent topics in Tejal Shah's work include Semantic Web and Ontologies (6 papers), Data Management and Algorithms (4 papers) and Biomedical Text Mining and Ontologies (4 papers). Tejal Shah is often cited by papers focused on Semantic Web and Ontologies (6 papers), Data Management and Algorithms (4 papers) and Biomedical Text Mining and Ontologies (4 papers). Tejal Shah collaborates with scholars based in United Kingdom, Australia and China. Tejal Shah's co-authors include Rajiv Ranjan, Zhenyu Wen, Graham Morgan, Omer Rana, Pankesh Patel, Bin Qian, Devam Dave, Rudresh Dwivedi, Xiaoli Li and Hengjin Ke and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Access and Sensors.

In The Last Decade

Tejal Shah

28 papers receiving 877 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Explainable AI (XAI): Core Ideas, Techniques, and Solutions

2022 506 citations Rudresh Dwivedi, Devam Dave et al. ACM Computing Surveys profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tejal Shah United Kingdom	11	356	107	93	92	91	33	922
Md. Mohsin Kabir Bangladesh	20	440 1.2×	67 0.6×	199 2.1×	80 0.9×	150 1.6×	73	1.3k
Lubna A. Gabralla Saudi Arabia	17	207 0.6×	59 0.6×	172 1.8×	106 1.2×	44 0.5×	41	758
Mario Brčić Croatia	8	592 1.7×	61 0.6×	81 0.9×	77 0.8×	28 0.3×	25	974
Md. Saddam Hossain Mukta Bangladesh	14	420 1.2×	49 0.5×	119 1.3×	87 0.9×	20 0.2×	56	880
Jamila Mustafina Russia	12	265 0.7×	80 0.7×	83 0.9×	118 1.3×	21 0.2×	64	900
Ahmed J. Aljaaf United Kingdom	12	294 0.8×	75 0.7×	84 0.9×	101 1.1×	23 0.3×	34	924
Moninder Singh United States	17	560 1.6×	92 0.9×	95 1.0×	162 1.8×	22 0.2×	53	958
Sulaiman Khan Pakistan	19	216 0.6×	215 2.0×	203 2.2×	126 1.4×	75 0.8×	67	1.0k
Hamid Mcheick Canada	14	159 0.4×	179 1.7×	98 1.1×	172 1.9×	50 0.5×	106	680
Tomas Krilavičius Lithuania	14	296 0.8×	69 0.6×	121 1.3×	43 0.5×	39 0.4×	78	835

Countries citing papers authored by Tejal Shah

Since Specialization

Citations

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

Fields of papers citing papers by Tejal Shah

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tejal Shah

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Duan, Haoran, et al.. (2025). Parameter Efficient Fine-Tuning for Multi-modal Generative Vision Models with Möbius-Inspired Transformation. International Journal of Computer Vision. 133(7). 4590–4603. 4 indexed citations

Qiu, Xin, Haoran Duan, Tejal Shah, et al.. (2025). D 2 Fusion: Dual-domain fusion with feature superposition for Deepfake detection. Information Fusion. 120. 103087–103087. 5 indexed citations

Duan, Haoran, Tejal Shah, Jun Song, et al.. (2025). Laser: Efficient Language-Guided Segmentation in Neural Radiance Fields. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(5). 3922–3934. 2 indexed citations

Duan, Haoran, Varun Ojha, Tejal Shah, et al.. (2024). Dual Variational Knowledge Attention for Class Incremental Vision Transformer. 1–8.

Sudharsan, Bharath, et al.. (2024). LEAP: Lifelong Learning Edge-Cloud Adaptive Fused Framework for Mobility Prediction. Newcastle University ePrints (Newcastle Univesity). 6707–6716.

Sudharsan, Bharath, et al.. (2024). Poly Instance Recurrent Neural Network for Real-time Lifelong Learning at the Low-power Edge. Newcastle University ePrints (Newcastle Univesity). 5907–5916.

Sudharsan, Bharath, et al.. (2023). Tiny-Impute: A Framework for On-device Data Quality Validation, Hybrid Anomaly Detection, and Data Imputation at the Edge. Newcastle University ePrints (Newcastle Univesity). 1–10. 4 indexed citations

Nazar, Hamde, et al.. (2023). Digital literacy in undergraduate pharmacy education: a scoping review. Journal of the American Medical Informatics Association. 31(3). 732–745. 12 indexed citations

Dwivedi, Rudresh, Devam Dave, Omer Rana, et al.. (2022). Explainable AI (XAI): Core Ideas, Techniques, and Solutions. ACM Computing Surveys. 55(9). 1–33. 506 indexed citations breakdown →

10.

Shah, Tejal, Zhenyu Wen, T. Hemalatha, et al.. (2021). Use of Social Media Data in Disaster Management: A Survey. Future Internet. 13(2). 46–46. 54 indexed citations

11.

Jain, Shikha, et al.. (2021). A coordinated strategy to develop and distribute infographics addressing COVID-19 vaccine hesitancy and misinformation. Journal of the American Pharmacists Association. 62(1). 224–231. 9 indexed citations

12.

Shah, Tejal, et al.. (2020). An ontology‐based system for discovering landslide‐induced emergencies in electrical grid. Transactions on Emerging Telecommunications Technologies. 33(3). 4 indexed citations

13.

Shah, Tejal, et al.. (2019). Ontology-based discovery of time-series data sources for landslide early warning system. Computing. 102(3). 745–763. 12 indexed citations

14.

Shah, Tejal, Philip James, Dhavalkumar Thakker, et al.. (2019). Context-Based Knowledge Discovery and Querying for Social Media Data. 307–314. 3 indexed citations

15.

Ke, Hengjin, Dan Chen, Xiaoli Li, et al.. (2018). Towards Brain Big Data Classification: Epileptic EEG Identification With a Lightweight VGGNet on Global MIC. IEEE Access. 6. 14722–14733. 72 indexed citations

16.

Ke, Hengjin, Dan Chen, Tejal Shah, et al.. (2018). Cloud‐aided online EEG classification system for brain healthcare: A case study of depression evaluation with a lightweight CNN. Software Practice and Experience. 50(5). 596–610. 74 indexed citations

17.

Morshed, Ahsan, Abdur Rahim Mohammad Forkan, Tejal Shah, et al.. (2018). Visual Analytics Ontology-Guided I-DE System: A Case Study of Head and Neck Cancer in Australia. Swinburne Research Bank (Swinburne University of Technology). 424–429. 2 indexed citations

18.

Han, Wei, et al.. (2017). A parallel online trajectory compression approach for supporting big data workflow. Computing. 100(1). 3–20. 6 indexed citations

19.

Song, Weijing, Albert Y. Zomaya, Yang Xiang, et al.. (2016). Associative retrieval in spatial big data based on spreading activation with semantic ontology. Future Generation Computer Systems. 76. 499–509. 7 indexed citations

20.

Jayaraman, Prem Prakash, Karan Mitra, Saguna Saguna, et al.. (2015). Orchestrating Quality of Service in the Cloud of Things Ecosystem. KTH Publication Database DiVA (KTH Royal Institute of Technology). 1. 185–190. 8 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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