Hsiang Sing Naik

464 total citations
4 papers, 323 citations indexed

About

Hsiang Sing Naik is a scholar working on Plant Science, Genetics and Analytical Chemistry. According to data from OpenAlex, Hsiang Sing Naik has authored 4 papers receiving a total of 323 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Plant Science, 3 papers in Genetics and 1 paper in Analytical Chemistry. Recurrent topics in Hsiang Sing Naik's work include Genetic Mapping and Diversity in Plants and Animals (3 papers), Plant nutrient uptake and metabolism (2 papers) and Rice Cultivation and Yield Improvement (1 paper). Hsiang Sing Naik is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (3 papers), Plant nutrient uptake and metabolism (2 papers) and Rice Cultivation and Yield Improvement (1 paper). Hsiang Sing Naik collaborates with scholars based in United States. Hsiang Sing Naik's co-authors include Baskar Ganapathysubramanian, Soumik Sarkar, Asheesh K. Singh, Jiaoping Zhang, Teshale Assefa, Arti Singh, Nigel Lee, Jordon Pace, Thomas Lübberstedt and David Ackerman and has published in prestigious journals such as PLoS ONE, Scientific Reports and Frontiers in Plant Science.

In The Last Decade

Hsiang Sing Naik

4 papers receiving 316 citations

Peers

Countries citing papers authored by Hsiang Sing Naik

Since Specialization

Citations

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

Fields of papers citing papers by Hsiang Sing Naik

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hsiang Sing Naik. 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 Hsiang Sing Naik. The network helps show where Hsiang Sing Naik may publish in the future.

Co-authorship network of co-authors of Hsiang Sing Naik

This figure shows the co-authorship network connecting the top 25 collaborators of Hsiang Sing Naik. A scholar is included among the top collaborators of Hsiang Sing Naik 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 Hsiang Sing Naik. Hsiang Sing Naik 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:

4 of 4 papers shown

#	Work	Indexed citations
1	Deploying Fourier Coefficients to Unravel Soybean Canopy Diversity 2017 ·Frontiers in Plant Science ·Talukder Z. Jubery, Johnathon M. Shook, Kyle Parmley, Jiaoping Zhang, Hsiang Sing Naik, R. Higgins, Soumik Sarkar, Arti Singh, Asheesh K. Singh, Baskar Ganapathysubramanian	19
2	A real-time phenotyping framework using machine learning for plant stress severity rating in soybean 2017 ·Plant Methods ·Hsiang Sing Naik, Jiaoping Zhang, (unknown), Teshale Assefa, Soumik Sarkar, David Ackerman, Arti Singh, Asheesh K. Singh, Baskar Ganapathysubramanian	142
3	Computer vision and machine learning for robust phenotyping in genome-wide studies 2017 ·Scientific Reports ·Jiaoping Zhang, Hsiang Sing Naik, Teshale Assefa, Soumik Sarkar, Ramya Reddy, Arti Singh, Baskar Ganapathysubramanian, Asheesh K. Singh	73
4	Analysis of Maize (Zea mays L.) Seedling Roots with the High-Throughput Image Analysis Tool ARIA (Automatic Root Image Analysis) 2014 ·PLoS ONE ·Jordon Pace, Nigel Lee, Hsiang Sing Naik, Baskar Ganapathysubramanian, Thomas Lübberstedt	89

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.

Explore authors with similar magnitude of impact