Daniel Tang

1.0k total citations
17 papers, 445 citations indexed

About

Daniel Tang is a scholar working on Immunology, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Daniel Tang has authored 17 papers receiving a total of 445 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 5 papers in Molecular Biology and 4 papers in Artificial Intelligence. Recurrent topics in Daniel Tang's work include Biosimilars and Bioanalytical Methods (8 papers), Cell Image Analysis Techniques (3 papers) and Speech and dialogue systems (2 papers). Daniel Tang is often cited by papers focused on Biosimilars and Bioanalytical Methods (8 papers), Cell Image Analysis Techniques (3 papers) and Speech and dialogue systems (2 papers). Daniel Tang collaborates with scholars based in United States, China and Japan. Daniel Tang's co-authors include Gilbert Dizon, C.T. Viswanathan, Douglas M. Fast, Marian Kelley, Anthony J. DeStefano, Russell Weiner, Ajai K. Chaudhary, Shang‐Ying P. King, J. O’Shaughnessy and Robin Goodwin and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Pharmaceutical Sciences and The AAPS Journal.

In The Last Decade

Daniel Tang

16 papers receiving 409 citations

Peers

Daniel Tang
Víctor Maojo Spain
Hui‐Yu Hsu Taiwan
Mehrnoosh Ostovar United Kingdom
Zhuolun Li China
Yongmei Hu China
Wenge Guo United States
Fun Man Fung Singapore
Ke Deng China
Víctor Maojo Spain
Daniel Tang
Citations per year, relative to Daniel Tang Daniel Tang (= 1×) peers Víctor Maojo

Countries citing papers authored by Daniel Tang

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Tang. A scholar is included among the top collaborators of Daniel 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 Daniel Tang. Daniel Tang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Dizon, Gilbert, Daniel Tang, & Yumi Yamamoto. (2022). A case study of using Alexa for out-of-class, self-directed Japanese language learning. Computers and Education Artificial Intelligence. 3. 100088–100088. 35 indexed citations
2.
3.
Dizon, Gilbert & Daniel Tang. (2020). Intelligent personal assistants for autonomous second language learning: An investigation of Alexa. The JALT CALL Journal. 16(2). 107–120. 54 indexed citations
4.
Sheridan, R., et al.. (2020). Bridging Pedagogical Gaps with Learner Agency. 2019(1). 115–115. 1 indexed citations
5.
Tang, Daniel, et al.. (2019). The 7th China Bioanalysis Forum Annual Meeting. Bioanalysis. 12(2). 71–74.
6.
Dizon, Gilbert & Daniel Tang. (2017). Comparing the efficacy of digital flashcards versus paper flashcards to improve receptive and productive L2 vocabulary. SHILAP Revista de lepidopterología. 25(1). 3–3. 19 indexed citations
7.
Tucker, Geoffrey T., Binodh DeSilva, Jennifer Dressman, et al.. (2016). Current Challenges and Potential Opportunities for the Pharmaceutical Sciences to Make Global Impact: An FIP Perspective. Journal of Pharmaceutical Sciences. 105(9). 2489–2497. 23 indexed citations
8.
Tang, Daniel, Dafang Zhong, & Kelly Dong. (2016). The Fourth China Bioanalysis Forum Annual Meeting. Bioanalysis. 9(2). 159–162. 2 indexed citations
9.
Tang, Daniel, Dafang Zhong, & Kelly Dong. (2015). The 3rd China Bioanalysis Forum Annual Meeting. Bioanalysis. 7(22). 2853–2856. 3 indexed citations
10.
Tang, Daniel, Dafang Zhong, & Kelly Dong. (2014). The 2Nd China Bioanalysis Forum Annual Conference: Clinical Bioanalysis and Large Molecule Bioanalysis. Bioanalysis. 6(20). 2709–2712. 4 indexed citations
11.
Tang, Daniel, et al.. (2013). Society Spotlight: China Bioanalysis Forum. Bioanalysis. 5(6). 641–643. 3 indexed citations
12.
Garofolo, Fabio, Brian Booth, C.T. Viswanathan, et al.. (2012). Conference Report: Us Fda/Ema Harmonization of Their Bioanalytical Guidance/Guideline And Activities of The Global Bioanalytical Consortium. Bioanalysis. 4(3). 231–236. 15 indexed citations
13.
Tang, Daniel, et al.. (2010). Static checking of safety critical Java annotations. 148–154. 16 indexed citations
14.
Zhao, Lei, et al.. (2010). Developing safety critical Java applications with oSCJ/L0. Kent Academic Repository (University of Kent). 95–101. 19 indexed citations
15.
Fast, Douglas M., Marian Kelley, C.T. Viswanathan, et al.. (2009). Workshop Report and Follow-Up—AAPS Workshop on Current Topics in GLP Bioanalysis: Assay Reproducibility for Incurred Samples—Implications of Crystal City Recommendations. The AAPS Journal. 11(2). 238–241. 208 indexed citations
16.
Zhao, Lei, Daniel Tang, & Jan Vítek. (2009). A technology compatibility kit for safety critical Java. 160–168. 8 indexed citations
17.
Goodwin, Robin & Daniel Tang. (1991). Preferences for Friends and Close Relationships Partners: A Cross-Cultural Comparison. The Journal of Social Psychology. 131(4). 579–581. 30 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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