Ken Cai

1.2k citations
51 papers · 796 indexed · 1 hit paper · h-index 15

Impact in

Papers in

Ken Cai

50 papers receiving 764 citations

Hit Papers

A Short-Term Traffic Flow Prediction Model Based on an Improved Gate Recurrent Unit Neural Network 2021 · 159 citations
159202120262022202450100150

Peers

Ken Cai
Comparison fields: 5 of 116
  • Transportation 90
  • Building and Construction 131
  • Computer Vision and Pattern Recognition 160
  • Computer Networks and Communications 159
  • Media Technology 60
Replace Qiang Niu with:
Qiang Niu China
Claudio Badii Italy
Qiaozhi Hua China
Darong Huang China
Shadi Atalla United Arab Emirates
Chuan Lin China
Guiyuan Jiang China
Nan Han China
Christos Laoudias Cyprus
Paolo Dini Spain
Ken Cai relative to Qiang Niu China Qiang Niu's profile →
Citations per field
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Qiang Niu · 1×
Citations per year

Countries citing papers authored by Ken Cai

Since Specialization
Citations

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

Fields of papers citing papers by Ken Cai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202330
2 20221
3 202210
4 20216
5 202168
6 202110
7 20211
8 202066
9 202011
10 20203
11 20192
12 201920
13
Segmentation of rice planthoppers in rice fields based on an improved level-set approach.
20163
14 201632
15 20153
16 201519
17 20159
18 20131
19 20112
20 20092

About Ken Cai

Ken Cai is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Computer Science Applications, General Decision Sciences and Building and Construction, having authored 51 papers that have together received 796 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (6 papers), Robotics and Sensor-Based Localization (6 papers), Traffic Prediction and Management Techniques (5 papers), Augmented Reality Applications (5 papers), Medical Imaging Techniques and Applications (4 papers), Multi-Criteria Decision Making (4 papers), IoT and Edge/Fog Computing (4 papers) and Advanced X-ray and CT Imaging (4 papers). The work is most often cited by research in Transportation (90 citations), Building and Construction (131 citations), Computer Vision and Pattern Recognition (160 citations), Computer Networks and Communications (159 citations) and Media Technology (60 citations). Ken Cai has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Wanneng Shu, Naixue Xiong, Qinyong Lin, Rongqian Yang, Huazhou Chen, Bohan Li, Zhihan Lv, Liang Qiao, Qingjun Wang and Xiaoying Liang. Their work appears in journals such as IEEE Transactions on Intelligent Transportation Systems, Computer Communications, International Journal of Emerging Technologies in Learning (iJET), IEEE Access and International Journal of Advancements in Computing Technology.

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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