Chandan Singh

3.4k total citations · 1 hit paper
45 papers, 1.6k citations indexed

About

Chandan Singh is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Chandan Singh has authored 45 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 7 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Chandan Singh's work include Explainable Artificial Intelligence (XAI) (8 papers), Advanced Numerical Analysis Techniques (6 papers) and Computer Graphics and Visualization Techniques (5 papers). Chandan Singh is often cited by papers focused on Explainable Artificial Intelligence (XAI) (8 papers), Advanced Numerical Analysis Techniques (6 papers) and Computer Graphics and Visualization Techniques (5 papers). Chandan Singh collaborates with scholars based in India, United States and United Kingdom. Chandan Singh's co-authors include Bin Yu, William J. Murdoch, Karl Kumbier, Reza Abbasi-Asl, Karamjeet Singh, Amandeep Kaur, Anu Bala, Jianfeng Gao, Rich Caruana and Ekta Walia and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Chandan Singh

42 papers receiving 1.5k 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.

Definitions, methods, and applications in interpretable machine learning

2019 1.3k citations William J. Murdoch, Chandan Singh et al. Proceedings of the National Academy of Sciences profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chandan Singh India	11	661	167	126	113	92	45	1.6k
Dana Rezazadegan Australia	12	795 1.2×	235 1.4×	65 0.5×	164 1.5×	207 2.3×	24	2.2k
Vasilis Papastefanopoulos Greece	5	792 1.2×	94 0.6×	106 0.8×	203 1.8×	196 2.1×	6	1.8k
Pantelis Linardatos Greece	5	792 1.2×	94 0.6×	106 0.8×	203 1.8×	196 2.1×	6	1.8k
Nachaat Mohamed India	14	654 1.0×	148 0.9×	67 0.5×	37 0.3×	64 0.7×	49	2.4k
Ibomoiye Domor Mienye South Africa	22	1.0k 1.6×	126 0.8×	83 0.7×	54 0.5×	165 1.8×	41	2.2k
Karl Kumbier United States	6	1.9k 2.8×	249 1.5×	218 1.7×	152 1.3×	172 1.9×	13	3.1k
Ying Xue China	3	331 0.5×	140 0.8×	106 0.8×	28 0.2×	126 1.4×	6	1.5k
David Gunning United States	8	1.3k 2.0×	171 1.0×	79 0.6×	289 2.6×	140 1.5×	13	2.3k
Reza Abbasi-Asl United States	7	577 0.9×	73 0.4×	146 1.2×	95 0.8×	87 0.9×	22	1.5k
Erik Štrumbelj Slovenia	16	716 1.1×	92 0.6×	102 0.8×	57 0.5×	60 0.7×	39	2.2k

Countries citing papers authored by Chandan Singh

Since Specialization

Citations

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

Fields of papers citing papers by Chandan Singh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chandan Singh

This figure shows the co-authorship network connecting the top 25 collaborators of Chandan Singh. A scholar is included among the top collaborators of Chandan Singh 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 Chandan Singh. Chandan Singh 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

Kornblith, Aaron E., Chandan Singh, Todd P. Chang, et al.. (2025). Analyzing patient perspectives with large language models: a cross-sectional study of sentiment and thematic classification on exception from informed consent. Scientific Reports. 15(1). 6179–6179. 2 indexed citations

Singh, Chandan, et al.. (2025). Fast Interpretable Greedy-Tree Sums. Proceedings of the National Academy of Sciences. 122(7). e2310151122–e2310151122. 2 indexed citations

Singh, Chandan, et al.. (2024). Structural equation modelling of core functional competencies based on partial least square method using WarpPLS 7.0. International Journal of Process Management and Benchmarking. 16(2). 215–230. 1 indexed citations

Singh, Chandan, John X. Morris, Jyoti Aneja, Alexander M. Rush, & Jianfeng Gao. (2023). Explaining Data Patterns in Natural Language with Language Models. 31–55. 6 indexed citations

Singh, Talwinder, et al.. (2023). A review on minimum quantity lubrication (MQL) assisted machining processes using mono and hybrid nanofluids. Industrial Lubrication and Tribology. 75(9). 1054–1076. 6 indexed citations

Singh, Chandan, et al.. (2023). Augmenting interpretable models with large language models during training. Nature Communications. 14(1). 7913–7913. 33 indexed citations

Singh, Chandan, John X. Morris, Alexander M. Rush, Jianfeng Gao, & Yuntian Deng. (2023). Tree Prompting: Efficient Task Adaptation without Fine-Tuning. 6253–6267. 2 indexed citations

Shin, Kyungsoo, Alexander E. Aleshin, Ye Tian, et al.. (2023). Vitronectin, the major regulator of age-related macular degeneration. Biophysical Journal. 122(3). 467a–467a. 1 indexed citations

Singh, Chandan, et al.. (2022). VeridicalFlow: a Python package for building trustworthy data science pipelines with PCS. The Journal of Open Source Software. 7(69). 3895–3895. 4 indexed citations

10.

Kornblith, Aaron E., Chandan Singh, Newton Addo, et al.. (2022). Predictability and stability testing to assess clinical decision instrument performance for children after blunt torso trauma. SHILAP Revista de lepidopterología. 1(8). e0000076–e0000076. 5 indexed citations

11.

Singh, Chandan, et al.. (2020). Interpretations are Useful: Penalizing Explanations to Align Neural Networks with Prior Knowledge. International Conference on Machine Learning. 1. 8116–8126. 32 indexed citations

12.

Murdoch, William J., Chandan Singh, Karl Kumbier, Reza Abbasi-Asl, & Bin Yu. (2019). Definitions, methods, and applications in interpretable machine learning. Proceedings of the National Academy of Sciences. 116(44). 22071–22080. 1251 indexed citations breakdown →

13.

Singh, Chandan, William J. Murdoch, & Bin Yu. (2018). Hierarchical interpretations for neural network predictions. arXiv (Cornell University). 16 indexed citations

14.

Morel, Danielle, Chandan Singh, & William B. Levy. (2018). Linearization of excitatory synaptic integration at no extra cost. Journal of Computational Neuroscience. 44(2). 173–188. 3 indexed citations

15.

Singh, Maneesh Kumar, et al.. (2017). Debilitation in tomato (Solanum lycopersicum L.) as result of heat stress. Journal of Pharmacognosy and Phytochemistry. 6(6). 1917–1922. 9 indexed citations

16.

Singh, Chandan & William B. Levy. (2017). A consensus layer V pyramidal neuron can sustain interpulse-interval coding. PLoS ONE. 12(7). e0180839–e0180839. 7 indexed citations

17.

Singh, Karamjeet, et al.. (2017). A hybrid algorithm for speckle noise reduction of ultrasound images. Computer Methods and Programs in Biomedicine. 148. 55–69. 43 indexed citations

18.

Singh, Chandan & Ashutosh Aggarwal. (2017). Single-image super-resolution using orthogonal rotation invariant moments. Computers & Electrical Engineering. 62. 266–280. 9 indexed citations

19.

Singh, Chandan & J.S. Saini. (2014). Accurate and Fast Algorithm for the Plotting of Contours Using Eight Node Quadrilateral Meshes. Journal of The Institution of Engineers (India) Series B. 96(4). 311–325. 2 indexed citations

20.

Singh, Chandan. (1990). Comments on a simple algorithm for the plotting of contours. Communications in Applied Numerical Methods. 6(3). 191–195. 4 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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