Binh Tang

2.7k total citations
5 papers, 65 citations indexed

About

Binh Tang is a scholar working on Global and Planetary Change, Materials Chemistry and Structural Biology. According to data from OpenAlex, Binh Tang has authored 5 papers receiving a total of 65 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Global and Planetary Change, 2 papers in Materials Chemistry and 1 paper in Structural Biology. Recurrent topics in Binh Tang's work include Machine Learning in Materials Science (2 papers), Land Use and Ecosystem Services (2 papers) and Impact of Light on Environment and Health (2 papers). Binh Tang is often cited by papers focused on Machine Learning in Materials Science (2 papers), Land Use and Ecosystem Services (2 papers) and Impact of Light on Environment and Health (2 papers). Binh Tang collaborates with scholars based in United States and India. Binh Tang's co-authors include David S. Matteson, Yanyan Liu, Joshua Vincent, Peter A. Crozier, Eero P. Simoncelli, Carlos Fernandez‐Granda, Ramón Manzorro, Ying Sun and Mitesh M. Khapra and has published in prestigious journals such as Microscopy and Microanalysis, Applied Economic Perspectives and Policy and IEEE Transactions on Computational Imaging.

In The Last Decade

Binh Tang

5 papers receiving 63 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Binh Tang United States	4	13	12	11	10	9	5	65
Gunnar König Germany	4			7 0.6×	6 0.6×	40 4.4×	4	105
A. B. M. R. Sazzad Bangladesh	4	2 0.2×			5 0.5×	10 1.1×	13	46
C. Autermann Germany	5			9 0.8×	6 0.6×	7 0.8×	10	76
Wanqi Li China	4			3 0.3×	5 0.5×	13 1.4×	16	73
Johannes Rückert Germany	6		3 0.3×	3 0.3×	6 0.6×	4 0.4×	10	54
Oleg Oleg	5			5 0.5×	13 1.3×	5 0.6×	24	70
Stephanie Keith United States	3			8 0.7×	5 0.5×	3 0.3×	3	85
Karol Jędrasiak Poland	4			6 0.5×	1 0.1×	6 0.7×	19	53
Xu Hu China	5			2 0.2×	22 2.2×	7 0.8×	38	78
Chengqi Deng China	6			1 0.1×	15 1.5×	23 2.6×	7	118

Countries citing papers authored by Binh Tang

Since Specialization

Citations

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

Fields of papers citing papers by Binh Tang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Binh Tang

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

5 of 5 papers shown

1.

Manzorro, Ramón, Joshua Vincent, Binh Tang, et al.. (2022). Deep Denoising for Scientific Discovery: A Case Study in Electron Microscopy. IEEE Transactions on Computational Imaging. 8. 585–597. 26 indexed citations

2.

Tang, Binh & David S. Matteson. (2021). Probabilistic Transformer For Time Series Analysis. Neural Information Processing Systems. 34. 20 indexed citations

3.

Vincent, Joshua, Ramón Manzorro, Binh Tang, et al.. (2021). Developing Deep Neural Network-based Denoising Techniques for Time-Resolved In Situ TEM of Catalyst Nanoparticles. Microscopy and Microanalysis. 27(S1). 262–264. 1 indexed citations

4.

Tang, Binh, Yanyan Liu, & David S. Matteson. (2021). Predicting poverty with vegetation index. Applied Economic Perspectives and Policy. 44(2). 930–945. 13 indexed citations

5.

Tang, Binh, Ying Sun, Yanyan Liu, & David S. Matteson. (2018). Dynamic Poverty Prediction with Vegetation Index. 5 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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