Sonal Gupta

3.8k citations
109 papers · 2.5k indexed · h-index 28

Sonal Gupta

100 papers receiving 2.3k citations

Peers

Sonal Gupta
Comparison fields: 5 of 164
  • Artificial Intelligence 1.0k
  • Polymers and Plastics 374
  • Pharmaceutical Science 136
  • Bioengineering 84
  • Renewable Energy, Sustainability and the Environment 194
Replace Wei‐Yu Lin with:
Wei‐Yu Lin Taiwan
Liming Hu China
Wenyi Huang China
Donghua Liu China
Yulong Zhang China
Nidhi Mishra India
Chia‐Wei Wang Taiwan
Liping Ding China
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Weiwei Zhao China
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Citations per field
00.5×7.3×
Wei‐Yu Lin · 1×
Citations per year

Countries citing papers authored by Sonal Gupta

Since Specialization
Citations

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

Fields of papers citing papers by Sonal Gupta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Sonal Gupta, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sonal Gupta Line = papers co-authored together Sonal Gupta links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20241
4 20242
5 20241
6 202322
7 20230
8 202223
9 2021104
10
Learning Better Structured Representations Using Low-rank Adaptive Label Smoothing
20215
11 20211
12 20219
13 202037
14 2018138
15 201898
16
Bootstrapped Self Training for Knowledge Base Population.
201519
17
Topic Model Diagnostics: Assessing Domain Relevance via Topical Alignment
201367
18
Stanford's Distantly-Supervised Slot-Filling System
201121
19
Analyzing the Dynamics of Research by Extracting Key Aspects of Scientific Papers
201155
20
Electrochemical actuator from conductive electroactive polymer polypyrrole deposited on gold
20074

About Sonal Gupta

Sonal Gupta is a scholar working on Polymers and Plastics, Pharmaceutical Science, Acoustics and Ultrasonics, Bioengineering and Artificial Intelligence, having authored 109 papers that have together received 2.5k indexed citations. Recurring topics across this work include Conducting polymers and applications (30 papers), Topic Modeling (23 papers), Natural Language Processing Techniques (20 papers), Organic Electronics and Photovoltaics (19 papers), Advanced Sensor and Energy Harvesting Materials (10 papers), Multimodal Machine Learning Applications (9 papers), TiO2 Photocatalysis and Solar Cells (8 papers) and Thin-Film Transistor Technologies (6 papers). The work is most often cited by research in Artificial Intelligence (1.0k citations), Polymers and Plastics (374 citations), Pharmaceutical Science (136 citations), Bioengineering (84 citations) and Renewable Energy, Sustainability and the Environment (194 citations). Sonal Gupta has collaborated with scholars based in India, United States and Czechia. Frequent co-authors include Christopher D. Manning, Shweta Dang, Rushin Shah, Mike Lewis, Jeffrey Heer, D. K. Aswal, Javed Ali, Ashok Ranjan, Xilun Chen and Monika Singh. Their work appears in journals such as Organic Electronics, ACS Omega, ACS Applied Polymer Materials, Separation Science and Technology and Recent Patents on Drug Delivery & Formulation.

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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