Hanlu Jiang

3.0k citations
10 papers · 2.4k · 1 hit paper · h-index 4

Impact in

Papers in

Hanlu Jiang

8 papers receiving 2.4k citations

Hanlu Jiang's Hit Papers

Deep Feature Extraction and Classification of Hyperspectral Images Based on Convolutional Neural Networks 2016 · 2.4k citations
2.4k0+3+6Years since publication50010001.5k2.0k

Peers

Hanlu Jiang
Comparison fields: 5 of 116
  • Media Technology 1.9k
  • Atmospheric Science 1.3k
  • Computer Vision and Pattern Recognition 602
  • Analytical Chemistry 142
  • Ecology 283
Replace Haokui Zhang with:
Haokui Zhang China
Liguo Wang China
Bing Tu China
Le Sun China
Ping Zhong China
Zhouhan Lin China
Xuchu Yu China
Swalpa Kumar Roy India
Li Wei China
Hanlu Jiang relative to Haokui Zhang China Haokui Zhang's profile →
Citations per field
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Haokui Zhang · 1×
Citations per year

Countries citing papers authored by Hanlu Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Hanlu Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Hanlu Jiang, 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 Hanlu Jiang Line = papers co-authored together Hanlu Jiang links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1
Deep Feature Extraction and Classification of Hyperspectral Images Based on Convolutional Neural Networks
Hit paper breakdown →
20162410
2 202220
3 20204
4 20224
5 20223
6 20252
7 20231
8 20181
9 20250
10 20220

About Hanlu Jiang

Hanlu Jiang is a scholar working on Mechanical Engineering, Plant Science, Media Technology, Food Science and Analytical Chemistry, having authored 10 papers that have together received 2.4k indexed citations. Recurring topics across this work include Agricultural Engineering and Mechanization (3 papers), Smart Agriculture and AI (3 papers), Belt Conveyor Systems Engineering (2 papers), Spectroscopy and Chemometric Analyses (2 papers), Food Supply Chain Traceability (2 papers), Quality Function Deployment in Product Design (1 paper), RFID technology advancements (1 paper) and Multi-Criteria Decision Making (1 paper). The work is most often cited by research in Media Technology (1.9k citations), Atmospheric Science (1.3k citations), Computer Vision and Pattern Recognition (602 citations), Analytical Chemistry (142 citations) and Ecology (283 citations). Hanlu Jiang has collaborated with scholars based in China, Germany and Australia. Frequent co-authors include Pedram Ghamisi, Chunyang Li, Xiuping Jia, Yushi Chen, Bo Zhao, Xin Dong, Jun Fu, Bo Zhao, Qizhi Yang and Fupeng Li. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, Scientific Reports, Applied Sciences, Journal of Agriculture and Food Research and INMATEH Agricultural Engineering.

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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