Harsh Dave

461 total citations
20 papers, 245 citations indexed

About

Harsh Dave is a scholar working on Biomedical Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Harsh Dave has authored 20 papers receiving a total of 245 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Biomedical Engineering, 4 papers in Computer Vision and Pattern Recognition and 4 papers in Artificial Intelligence. Recurrent topics in Harsh Dave's work include AI in cancer detection (3 papers), Advanced Nanomaterials in Catalysis (2 papers) and Radiomics and Machine Learning in Medical Imaging (1 paper). Harsh Dave is often cited by papers focused on AI in cancer detection (3 papers), Advanced Nanomaterials in Catalysis (2 papers) and Radiomics and Machine Learning in Medical Imaging (1 paper). Harsh Dave collaborates with scholars based in India, United States and Philippines. Harsh Dave's co-authors include Sheshang Degadwala, Dhairya Vyas, Stuti Bhagat, Sanjay Singh, Shashank Tripathi, Biswajit Mondal, Blake A. Wilson, Amrita Chakraborty, Qi Cai and Xiaoqing Li and has published in prestigious journals such as The Journal of Physical Chemistry B, Nanoscale and Advanced Science.

In The Last Decade

Harsh Dave

17 papers receiving 198 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Harsh Dave India 9 50 46 32 32 29 20 245
Weijie Hu China 10 46 0.9× 14 0.3× 36 1.1× 88 2.8× 22 0.8× 30 292
Yiwen Ye China 8 37 0.7× 15 0.3× 21 0.7× 51 1.6× 38 1.3× 24 197
Wenwen Yu China 12 38 0.8× 67 1.5× 46 1.4× 46 1.4× 26 0.9× 42 304
Alexander Krasichkov Russia 8 52 1.0× 99 2.2× 23 0.7× 6 0.2× 15 0.5× 34 274
Pengfei Hou China 10 53 1.1× 14 0.3× 162 5.1× 17 0.5× 28 1.0× 31 344
Yuxiang Lu China 11 31 0.6× 18 0.4× 90 2.8× 72 2.3× 49 1.7× 45 366
Chihiro Abe Japan 8 43 0.9× 26 0.6× 14 0.4× 23 0.7× 77 2.7× 17 304
Jingyue Chen China 12 37 0.7× 20 0.4× 43 1.3× 59 1.8× 20 0.7× 30 347
Lin Hu China 9 125 2.5× 48 1.0× 31 1.0× 85 2.7× 133 4.6× 14 447
Ziyue Xu China 9 34 0.7× 58 1.3× 49 1.5× 16 0.5× 54 1.9× 27 250

Countries citing papers authored by Harsh Dave

Since Specialization
Citations

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

Fields of papers citing papers by Harsh Dave

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Harsh Dave

This figure shows the co-authorship network connecting the top 25 collaborators of Harsh Dave. A scholar is included among the top collaborators of Harsh Dave 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 Harsh Dave. Harsh Dave 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.
Ge, Xiaoqian, Joseph B. Wekselblatt, Bo Wang, et al.. (2025). In Vivo Cytosolic Delivery of Biomolecules into Neurons for Super‐Resolution Imaging and Genome Modification. Advanced Science. 12(25). e2501033–e2501033.
2.
3.
Dave, Harsh, et al.. (2023). PET-MRI Sequence Fusion using Convolution Neural Network. 317–321. 8 indexed citations
4.
Li, Xiaoqing, Qi Cai, Blake A. Wilson, et al.. (2023). Mechanobiological modulation of blood–brain barrier permeability by laser stimulation of endothelial-targeted nanoparticles. Nanoscale. 15(7). 3387–3397. 21 indexed citations
5.
Dave, Harsh, et al.. (2023). EfficientNetB0 for Brain Stroke Classification on Computed Tomography Scan. 713–718. 23 indexed citations
6.
7.
Dave, Harsh, et al.. (2023). EEG Brainwave Data Classification of a Confused Student Using Moving Average Feature. 1461–1466. 15 indexed citations
8.
Chakraborty, Amrita, Harsh Dave, Biswajit Mondal, et al.. (2022). Shell-Isolated Assembly of Atomically Precise Nanoclusters on Gold Nanorods for Integrated Plasmonic-Luminescent Nanocomposites. The Journal of Physical Chemistry B. 126(8). 1842–1851. 16 indexed citations
9.
Dave, Harsh, et al.. (2022). draw2code: AI based Auto Web Page Generation from Hand-drawn Page Mock-up. 2022 IEEE 7th International conference for Convergence in Technology (I2CT). 21. 1–7. 1 indexed citations
10.
Bhagat, Stuti, et al.. (2021). Calcium carbonate nano- and microparticles: synthesis methods and biological applications. 3 Biotech. 11(11). 457–457. 72 indexed citations
11.
Dave, Harsh, et al.. (2021). Facilitators and barriers to participation of the private sector health facilities in health insurance & government-led schemes in India. Clinical Epidemiology and Global Health. 10. 100699–100699. 8 indexed citations
12.
Dave, Harsh, et al.. (2021). Regional Kidney Stone Detection and Classification In Ultrasound Images. 2021 Third International Conference on Inventive Research in Computing Applications (ICIRCA). 1108–1112. 7 indexed citations
13.
14.
Bhagat, Stuti, et al.. (2020). Novel corona virus (COVID-19) pandemic: current status and possible strategies for detection and treatment of the disease. Expert Review of Anti-infective Therapy. 20(10). 1275–1298. 21 indexed citations
15.
Jani, Chinmay, et al.. (2020). Knowledge attitude practice study of diabetic retinopathy. International Surgery Journal. 8(1). 54–54.
16.
Dave, Harsh, et al.. (2018). Multifunctional Silver-Cellulose Nanocomposite as a Promising Plasmonic Sensing Platform. Journal of Nanoscience and Nanotechnology. 18(8). 5461–5469. 1 indexed citations
17.
Degadwala, Sheshang, Dhairya Vyas, & Harsh Dave. (2018). Ayurvedic Plant Leaves Classification Using combination of Features Feature. International Journal of Scientific Research in Computer Science Engineering and Information Technology. 671–678. 3 indexed citations
18.
Degadwala, Sheshang, et al.. (2018). Multi-focus Image Fusion Using Hybrid Transformation. International Journal of Scientific Research in Science Engineering and Technology. 352–359. 1 indexed citations
19.
Gupta, Ashutosh, et al.. (2018). Multi-objective optimization of surface parameters such as concavity, straightness and roughness in milling process. Materials Today Proceedings. 5(2). 5296–5302. 3 indexed citations
20.
Degadwala, Sheshang, et al.. (2018). Supervise Method for Acute Lymphoblastic Leukemia Segmentation and Classification. International Journal of Scientific Research in Science Engineering and Technology. 365–370. 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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