Taowei David Wang

1.5k total citations
9 papers, 645 citations indexed

About

Taowei David Wang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Taowei David Wang has authored 9 papers receiving a total of 645 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 3 papers in Molecular Biology. Recurrent topics in Taowei David Wang's work include Data Visualization and Analytics (6 papers), Biomedical Text Mining and Ontologies (2 papers) and Time Series Analysis and Forecasting (2 papers). Taowei David Wang is often cited by papers focused on Data Visualization and Analytics (6 papers), Biomedical Text Mining and Ontologies (2 papers) and Time Series Analysis and Forecasting (2 papers). Taowei David Wang collaborates with scholars based in United States, Austria and South Korea. Taowei David Wang's co-authors include Catherine Plaisant, Ben Shneiderman, Krist Wongsuphasawat, Meirav Taieb‐Maimon, Shawn N. Murphy, Alexander J. Quinn, Alexander Rind, Silvia Miksch, Wolfgang Aigner and Michael P. Cummings and has published in prestigious journals such as Future Generation Computer Systems, Journal of Medical Systems and Journal of Digital Imaging.

In The Last Decade

Taowei David Wang

9 papers receiving 605 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Taowei David Wang United States	8	387	203	149	124	93	9	645
Krist Wongsuphasawat United States	14	587 1.5×	282 1.4×	213 1.4×	131 1.1×	84 0.9×	19	871
Jim Hunter United Kingdom	13	106 0.3×	560 2.8×	130 0.9×	55 0.4×	69 0.7×	33	766
Stefano Bromuri Switzerland	14	122 0.3×	250 1.2×	24 0.2×	45 0.4×	55 0.6×	53	567
Megan Monroe United States	5	241 0.6×	117 0.6×	94 0.6×	38 0.3×	12 0.1×	10	321
Dominique Brodbeck Switzerland	11	281 0.7×	179 0.9×	99 0.7×	14 0.1×	10 0.1×	21	747
Alexander Kotov United States	14	72 0.2×	463 2.3×	53 0.4×	78 0.6×	20 0.2×	45	722
Anna Rumshisky United States	23	152 0.4×	1.5k 7.3×	85 0.6×	520 4.2×	123 1.3×	71	1.7k
Greg Durrett United States	21	210 0.5×	1.3k 6.3×	48 0.3×	99 0.8×	21 0.2×	75	1.6k
Piotr Bródka Poland	15	67 0.2×	195 1.0×	14 0.1×	75 0.6×	64 0.7×	52	794
Dan Connolly United States	12	46 0.1×	418 2.1×	46 0.3×	77 0.6×	37 0.4×	17	718

Countries citing papers authored by Taowei David Wang

Since Specialization

Citations

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

Fields of papers citing papers by Taowei David Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Taowei David Wang. 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 Taowei David Wang. The network helps show where Taowei David Wang may publish in the future.

Co-authorship network of co-authors of Taowei David Wang

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

9 of 9 papers shown

1.

Murphy, Shawn N., Taowei David Wang, Katherine P. Andriole, et al.. (2014). High Throughput Tools to Access Images from Clinical Archives for Research. Journal of Digital Imaging. 28(2). 194–204. 23 indexed citations

2.

Rind, Alexander, Taowei David Wang, Wolfgang Aigner, et al.. (2013). Interactive Information Visualization to Explore and Query Electronic Health Records. 5(3). 207–298. 135 indexed citations

3.

Wongsuphasawat, Krist, et al.. (2011). Analyzing Incident Management Event Sequences with Interactive Visualization. Transportation Research Board 90th Annual MeetingTransportation Research Board. 9 indexed citations

4.

Wang, Taowei David, Krist Wongsuphasawat, Catherine Plaisant, & Ben Shneiderman. (2011). Extracting Insights from Electronic Health Records: Case Studies, a Visual Analytics Process Model, and Design Recommendations. Journal of Medical Systems. 35(5). 1135–1152. 38 indexed citations

5.

Wongsuphasawat, Krist, et al.. (2011). LifeFlow. 1747–1756. 215 indexed citations

6.

Wang, Taowei David, Krist Wongsuphasawat, Catherine Plaisant, & Ben Shneiderman. (2010). Visual information seeking in multiple electronic health records. 46–55. 31 indexed citations

7.

Wang, Taowei David, et al.. (2008). Aligning temporal data by sentinel events. 457–466. 163 indexed citations

8.

Lee, Sung W., et al.. (2006). Bio-STEER: A Semantic Web workflow tool for Grid computing in the life sciences. Future Generation Computer Systems. 23(3). 497–509. 24 indexed citations

9.

Wang, Taowei David. (2006). Gauging Ontologies and Schemas by Numbers. 7 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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