John Wang

34 papers receiving 919 citations

John Wang's Hit Papers

AprilTag 2: Efficient and robust fiducial detection 2016 · 616 citations
6160+3+6Years since publication200400600

Peers

John Wang
Comparison fields: 5 of 117
  • Computer Vision and Pattern Recognition 441
  • Health Informatics 22
  • Aerospace Engineering 332
  • Geology 59
  • Human-Computer Interaction 36
Replace Zhiwu Lu with:
Zhiwu Lu China
Gigel Măceșanu Romania
Lixin Fan China
Jiasi Chen United States
Jeongmin Park South Korea
Jen Jen Chung Switzerland
Xukan Ran United States
Tiberiu Cocias Romania
Yue Ming China
Chunxiao Fan China
John Wang relative to Zhiwu Lu China Zhiwu Lu's profile →
Citations per field
00.5×5×11.3×
Zhiwu Lu · 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 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1
AprilTag 2: Efficient and robust fiducial detection
Hit paper breakdown →
2016616
2
Data Mining: Opportunities and Challenges
200384
3 199466
4 202432
5 201827
6 202324
7 200823
8 199418
9 200810
10 20108
11
Navigating large-scale semi-structured data in business portals
20018
12 20137
13 20106
14 20205
15 20105
16 20174
17 20104
18
ZL Technologies at TREC 2009 Legal Interactive Comparing Exclusionary and Investigative Approaches for Electronic Discovery using the TREC Enron Corpus
20093
19 20073
20 20103

About John Wang

John Wang is a scholar working on Information Systems, Artificial Intelligence, Computer Vision and Pattern Recognition, Management Information Systems and Signal Processing, having authored 40 papers that have together received 982 indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (9 papers), Face and Expression Recognition (5 papers), Advanced Vision and Imaging (3 papers), Neural Networks and Applications (3 papers), Big Data and Business Intelligence (3 papers), Topic Modeling (3 papers), Evolutionary Algorithms and Applications (2 papers) and Semantic Web and Ontologies (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (441 citations), Health Informatics (22 citations), Aerospace Engineering (332 citations), Geology (59 citations) and Human-Computer Interaction (36 citations). John Wang has collaborated with scholars based in United States, India and China. Frequent co-authors include Edwin Olson, Edward H. Adelson, Thomas Savage, Lisa Y. Shieh, Amit Kumar Saxena, Xiaohua Tony Hu, Ali Soroush, Dan Zhu, Seyed Amir Ahmad Safavi‐Naini and Jonathan H. Chen. Their work appears in journals such as Weed Technology, International Journal of Human Capital and Information Technology Professionals, International Journal of Data Warehousing and Mining, SAE technical papers on CD-ROM/SAE technical paper series and Journal of the American Medical Informatics Association.

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