Ye Chow Kuang

1.3k citations
104 papers · 893 indexed · h-index 18

Ye Chow Kuang

94 papers receiving 854 citations

Peers

Ye Chow Kuang
Comparison fields: 5 of 130
  • Human-Computer Interaction 93
  • Statistics, Probability and Uncertainty 120
  • Industrial and Manufacturing Engineering 144
  • Computer Vision and Pattern Recognition 140
  • Media Technology 54
Replace Melanie Po‐Leen Ooi with:
Melanie Po‐Leen Ooi Malaysia
Jian Wan United Kingdom
Yilin Chen China
Qingyang Xu China
Prospero C. Naval Philippines
Mohd Nadhir Ab Wahab Malaysia
Weidong Jin China
Neal Mazur United States
Kuo Su Taiwan
Yanfeng Wang China
Ye Chow Kuang relative to Melanie Po‐Leen Ooi Malaysia Melanie Po‐Leen Ooi's profile →
Citations per field
00.5×1.5×
Melanie Po‐Leen Ooi · 1×
Citations per year

Countries citing papers authored by Ye Chow Kuang

Since Specialization
Citations

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

Fields of papers citing papers by Ye Chow Kuang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ye Chow Kuang. 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 Ye Chow Kuang. The network helps show where Ye Chow Kuang may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Ye Chow Kuang, 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 Ye Chow Kuang Line = papers co-authored together Ye Chow Kuang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20252
2 20250
3 20250
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5 20251
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8 20236
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10 20222
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12 20227
13 20212
14 202126
15
AsyncTaichi: Whole-Program Optimizations for Megakernel Sparse Computation and Differentiable Programming.
20201
16 201718
17 20171
18 20169
19 20133
20 201117

About Ye Chow Kuang

Ye Chow Kuang is a scholar working on Statistics, Probability and Uncertainty, Hardware and Architecture and Industrial and Manufacturing Engineering, having authored 104 papers that have together received 893 indexed citations. Recurring topics across this work include Industrial Vision Systems and Defect Detection (16 papers), Scientific Measurement and Uncertainty Evaluation (11 papers), Probabilistic and Robust Engineering Design (11 papers), Spectroscopy and Chemometric Analyses (10 papers), VLSI and Analog Circuit Testing (9 papers), Sensor Technology and Measurement Systems (9 papers), Integrated Circuits and Semiconductor Failure Analysis (8 papers) and Fault Detection and Control Systems (8 papers). The work is most often cited by research in Human-Computer Interaction (93 citations), Statistics, Probability and Uncertainty (120 citations) and Industrial and Manufacturing Engineering (144 citations). Ye Chow Kuang has collaborated with scholars based in Malaysia, New Zealand and Australia. Frequent co-authors include Melanie Po‐Leen Ooi, Serge Demidenko, Arvind Rajan, Rini Akmeliawati, Chee Pin Tan, Lindsay Kleeman, Kok Yew Ng, Akhil Garg, Christopher Edwards and V. Vijayaraghavan. Their work appears in journals such as Advanced Materials, Applied and Environmental Microbiology and Optics Express.

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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