Wang Xiu

821 citations
63 papers · 640 · h-index 10

Impact in

Papers in

Wang Xiu

52 papers receiving 622 citations

Peers

Wang Xiu
Comparison fields: 5 of 67
  • Computer Vision and Pattern Recognition 443
  • Computational Mathematics 4
  • Urban Studies 24
  • Artificial Intelligence 97
  • Media Technology 24
Replace Jun Feng Guo with:
Jun Feng Guo China
Haitao Xiong China
Ravi Krishna United States
Lei Tian China
S. Mohamed Mansoor Roomi India
Pavan Kumar Anasosalu Vasu United Kingdom
Xinyi Zhao China
Xueping Wang China
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Citations per field
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Citations per year

Countries citing papers authored by Wang Xiu

Since Specialization
Citations

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

Fields of papers citing papers by Wang Xiu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018153
2
Semantic topic multimodal hashing for cross-media retrieval
2015144
3 201887
4 202143
5 202323
6 201721
7 201317
8 202214
9 201513
10 201712
11 20177
12 20217
13
The Study on Hyperspectral Remote Sensing Estimation Models about LAI of Rice
20046
14 19866
15 20146
16
Experiment of fertigation uniformity of drip fertigation machine.
20095
17
Evaluation of ground speed measurements for agricultural machinery.
20105
18
Nozzle flow model of PWM variable-rate spraying.
20125
19 20125
20 20245

About Wang Xiu

Wang Xiu is a scholar working on Control and Systems Engineering, Plant Science, Computer Vision and Pattern Recognition, Atmospheric Science and Civil and Structural Engineering, having authored 63 papers that have together received 640 indexed citations. Recurring topics across this work include Remote Sensing and Land Use (7 papers), Image Retrieval and Classification Techniques (6 papers), Plant Surface Properties and Treatments (6 papers), Advanced Image and Video Retrieval Techniques (5 papers), Advanced Algorithms and Applications (4 papers), Soil Mechanics and Vehicle Dynamics (4 papers), Smart Agriculture and AI (4 papers) and Industrial Technology and Control Systems (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (443 citations), Computational Mathematics (4 citations), Urban Studies (24 citations), Artificial Intelligence (97 citations) and Media Technology (24 citations). Wang Xiu has collaborated with scholars based in China, Taiwan and Vietnam. Frequent co-authors include Lihuo He, Di Wang, Leida Li, Jingyuan Yang, Jinshan Ding, Wei Ma, Qingchun Feng, Chunjiang Zhao, Kai Jiang and Changyuan Zhai. Their work appears in journals such as International journal of agricultural and biological engineering, IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Image Processing, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Access.

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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