Ling Yi

24 papers receiving 254 citations

Peers

Ling Yi
Comparison fields: 5 of 71
  • Environmental Engineering 54
  • Global and Planetary Change 80
  • Water Science and Technology 50
  • Computer Networks and Communications 45
  • Management, Monitoring, Policy and Law 18
Replace Amir Seyed Danesh with:
Amir Seyed Danesh Malaysia
Artur Zolich Norway
Nathaniel Joseph C. Libatique Philippines
Zhuo Jiang China
René Garello France
Pedro Henrique Guimarães Ferreira Brazil
Sandeep V. Gaikwad India
Emmanuel Tonyé Cameroon
Emanuele Ragnoli Ireland
Ling Yi relative to Amir Seyed Danesh Malaysia Amir Seyed Danesh's profile →
Citations per field
00.5×1.5×
Amir Seyed Danesh · 1×
Citations per year

Countries citing papers authored by Ling Yi

Since Specialization
Citations

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

Fields of papers citing papers by Ling Yi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202260
2 201349
3 201721
4 201620
5 202419
6 202213
7 202012
8 202410
9
Multiple cropping index of Northern China based on MODIS/EVI
20099
10 20246
11 20246
12 20165
13
RESEARCH ON "BEIJING 1" MICRO-SATELLITE IMAGE QUALITY AND LAND USE CLASSIFICATION PRECISION
20074
14 20104
15 20144
16
NMR principle analysis based object detection for intelligent measurement of crude oil moisture content
20193
17 20243
18 20093
19 20212
20 20152

About Ling Yi

Ling Yi is a scholar working on Computer Networks and Communications, Artificial Intelligence, Computer Vision and Pattern Recognition, Control and Systems Engineering and Aerospace Engineering, having authored 32 papers that have together received 260 indexed citations. Recurring topics across this work include Mobile Ad Hoc Networks (5 papers), Energy Efficient Wireless Sensor Networks (4 papers), Advanced Algorithms and Applications (3 papers), Fault Detection and Control Systems (3 papers), Cooperative Communication and Network Coding (3 papers), Remote Sensing and Land Use (3 papers), Face and Expression Recognition (2 papers) and Spectroscopy and Chemometric Analyses (2 papers). The work is most often cited by research in Environmental Engineering (54 citations), Global and Planetary Change (80 citations), Water Science and Technology (50 citations), Computer Networks and Communications (45 citations) and Management, Monitoring, Policy and Law (18 citations). Ling Yi has collaborated with scholars based in China, United States and Saudi Arabia. Frequent co-authors include Maggie X. Cheng, Yongqi Liu, Feng Huang, Baohua Wang, Hui Qin, Brian M. Sadler, Lijun Zuo, Jinliang Ding, Wei Biao Wu and Zengxiang Zhang. Their work appears in journals such as IEEE Internet of Things Journal, IEEE Transactions on Consumer Electronics, ACM Computing Surveys, Journal of Hydrology and IEEE Transactions on Cybernetics.

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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