John Wang

45 papers receiving 1.9k citations

John Wang's Hit Papers

AprilTag 2: Efficient and robust fiducial detection 2016 · 568 citations
5680+5+10Years since publication250500750

Peers

John Wang
Comparison fields: 5 of 157
  • Management Science and Operations Research 396
  • Computer Vision and Pattern Recognition 442
  • Health Informatics 20
  • Aerospace Engineering 321
  • Geology 62
Replace Abolghasem Sadeghi‐Niaraki with:
Abolghasem Sadeghi‐Niaraki South Korea
Xiaoge Zhang China
Ashutosh Sharma India
Katarina Grolinger Canada
Yue Pan China
Yu‐Jun Zheng China
Miriam A. M. Capretz Canada
Yi Lin China
Abdellah Chehri Canada
Paolo Nesi Italy
John Wang relative to Abolghasem Sadeghi‐Niaraki South Korea Abolghasem Sadeghi‐Niaraki's profile →
Citations per field
00.5×2×3×4×4.9×
Abolghasem Sadeghi‐Niaraki · 1×
Citations per year

Countries citing papers authored by John Wang

Since Specialization
Citations

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

Fields of papers citing papers by John Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside John Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with John Wang Line = papers co-authored together John Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The Analytic Hierarchy Process
Hit paper breakdown →
2011866
2
AprilTag 2: Efficient and robust fiducial detection
Hit paper breakdown →
2016568
3 2005100
4 200386
5 199469
6 200857
7 202324
8 201823
9 200822
10 199419
11 202417
12 200812
13 200811
14
Navigating large-scale semi-structured data in business portals
20019
15 20108
16 20137
17 20107
18 20205
19 20075
20 20105

About John Wang

John Wang is a scholar working on Information Systems, Artificial Intelligence, Computer Vision and Pattern Recognition, Management Information Systems and Computer Networks and Communications, having authored 50 papers that have together received 2.0k indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (11 papers), Big Data and Business Intelligence (6 papers), Face and Expression Recognition (5 papers), Data Quality and Management (4 papers), Semantic Web and Ontologies (4 papers), Advanced Database Systems and Queries (4 papers), Topic Modeling (3 papers) and Neural Networks and Applications (3 papers). The work is most often cited by research in Management Science and Operations Research (396 citations), Computer Vision and Pattern Recognition (442 citations), Health Informatics (20 citations), Aerospace Engineering (321 citations) and Geology (62 citations). John Wang has collaborated with scholars based in United States, India and China. Frequent co-authors include Chandana Chakraborty, Huanyu Ouyang, Edwin Olson, Edward H. Adelson, James Yao, Qiyang Chen, Thomas Savage, Lisa Shieh, Amit Saxena and Xiaohua Hu. Their work appears in journals such as Journal of the American Medical Informatics Association, International Journal of Human Capital and Information Technology Professionals, Weed Technology, SAE technical papers on CD-ROM/SAE technical paper series and International Journal of Data Warehousing and Mining.

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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