pan gao

2.0k citations
81 papers · 1.4k · h-index 23

Impact in

Papers in

Co-authors
Chu Zhang (16 shared papers)Tianying Yan (14 shared papers)Yong He (9 shared papers)Wei Xu (10 shared papers)Lei Zhou (4 shared papers)Lei Feng (5 shared papers)Susu Zhu (3 shared papers)Qinlin Xiao (6 shared papers)
Journals
Frontiers in Plant Science (8 papers)Foods (7 papers)Molecules (3 papers)Agronomy (3 papers)Sustainability (2 papers)
Partner nations
ChinaUnited StatesHong Kong

In The Last Decade

pan gao

77 papers receiving 1.4k citations

Peers

pan gao
Comparison fields: 5 of 135
  • Analytical Chemistry 604
  • Biophysics 142
  • Plant Science 503
  • Waste Management and Disposal 116
  • Ecology 178
Replace Yanru Zhao with:
Yanru Zhao China
Yuanyuan Shao China
Hanping Mao China
Te Ma Japan
Hui Fang China
Xi Tian China
Sergey Kucheryavskiy Denmark
Bing Lu China
António Luís Amaral Portugal
pan gao relative to Yanru Zhao China Yanru Zhao's profile →
Citations per field
00.5×2×3×4×4.9×
Yanru Zhao · 1×
Citations per year

Countries citing papers authored by pan gao

Since Specialization
Citations

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

Fields of papers citing papers by pan gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Application of Alginate-Based Hydrogels in Hemostasis
Gels ·Yue Xie, pan gao, Fangfang He, Chun Zhang
202295
2
Detection of Pesticide Residue Level in Grape Using Hyperspectral Imaging with Machine Learning
Foods ·Weixin Ye, Tianying Yan, Chu Zhang, Long Zhen Duan, Wei Chen, Hao Song, Yifan Zhang, Wei Xu
202292
3
Near-Infrared Hyperspectral Imaging Combined with Deep Learning to Identify Cotton Seed Varieties
Molecules ·Susu Zhu, Lei Zhou, pan gao, Yidan Bao, Yong Ming He, Lei Feng
201987
4
Application of Hyperspectral Imaging for Maturity and Soluble Solids Content Determination of Strawberry With Deep Learning Approaches
Frontiers in Plant Science ·Zhen-Zhu Su, Chu Zhang, Tianying Yan, Jianan Zhu, Yulan Zeng, Xuan-Jun Lu, pan gao, Lei Feng
202175
5
Application of near-infrared hyperspectral imaging for variety identification of coated maize kernels with deep learning
Infrared Physics & Technology ·Chu Zhang, Yiying Zhao, Tianying Yan, Xiulin Bai, Qinlin Xiao, pan gao, Mu Li, Wei Huang
202074
6
Spectral Preprocessing Combined with Deep Transfer Learning to Evaluate Chlorophyll Content in Cotton Leaves
Plant Phenomics ·Qinlin Xiao, Wentan Tang, Chu Zhang, Lei Zhou, Lei Feng, Jianxun Shen, Tianying Yan, pan gao
202264
7
Combining Multi-Dimensional Convolutional Neural Network (CNN) With Visualization Method for Detection of Aphis gossypii Glover Infection in Cotton Leaves Using Hyperspectral Imaging
Frontiers in Plant Science ·Tianying Yan, Wei Xu, Lin Jiao, Long Zhen Duan, pan gao, Chu Zhang, Xin Lv
202152
8
Determination of quality and maturity of processing tomatoes using near-infrared hyperspectral imaging with interpretable machine learning methods
LWT ·Mingrui Zhao, Hao Cang, Huixin Chen, Chu Zhang, Tianying Yan, Yifan Zhang, pan gao, Wei Xu
202349
9
Application of Near-Infrared Spectroscopy and Hyperspectral Imaging Combined with Machine Learning Algorithms for Quality Inspection of Grape: A Review
Foods ·Weixin Ye, Wei Xu, Tianying Yan, Jing‐Kun Yan, pan gao, Chu Zhang
202248
10
Inhibitory effect and possible mechanism of a Pseudomonas strain QBA5 against gray mold on tomato leaves and fruits caused by Botrytis cinerea
PLoS ONE ·pan gao, Jiaxing Qin, Delong Li, Shanyue Zhou
201846
11
Non-Destructive and Rapid Variety Discrimination and Visualization of Single Grape Seed Using Near-Infrared Hyperspectral Imaging Technique and Multivariate Analysis
Molecules ·Yiying Zhao, Chu Zhang, Susu Zhu, pan gao, Lei Feng, Yong He
201844
12
Application of Convolutional Neural Network-Based Feature Extraction and Data Fusion for Geographical Origin Identification of Radix Astragali by Visible/Short-Wave Near-Infrared and Near Infrared Hyperspectral Imaging
Sensors ·Qinlin Xiao, Xiulin Bai, pan gao, Yong He
202040
13
Intermediate-induced repolymerization for constructing self-assembly architecture: Red crystalline carbon nitride nanosheets for notable hydrogen evolution
Applied Catalysis B: Environmental ·Sufeng An, Yongkang Guo, Xiaoyu He, pan gao, Guangjin Hou, Jungang Hou, Chunshan Song, Xinwen Guo
202235
14
Application of Visible/Near-Infrared Spectroscopy and Hyperspectral Imaging with Machine Learning for High-Throughput Plant Heavy Metal Stress Phenotyping: A Review
Plant Phenomics ·Yuanning Zhai, Lei Zhou, Hengnian Qi, pan gao, Chu Zhang
202335
15
Application of Near-Infrared Hyperspectral Imaging with Machine Learning Methods to Identify Geographical Origins of Dry Narrow-Leaved Oleaster (Elaeagnus angustifolia) Fruits
Foods ·pan gao, Wei Xu, Tianying Yan, Chu Zhang, Xin Lv, Yong He
201933
16
Variety Identification of Raisins Using Near-Infrared Hyperspectral Imaging
Molecules ·Lei Feng, Susu Zhu, Chu Zhang, Yidan Bao, pan gao, Yong He
201832
17
Coupling relationship and interactive response between ecological protection and high-quality development in the Yellow River Basin
自然资源学报 ·pan gao, Chang-sheng FAN, Honghao Wang, Han Wang +2 others
202132
18
Micro/nano-plastics and microalgae in aquatic environment: Influence factor, interaction, and molecular mechanisms
The Science of The Total Environment ·Wenfeng Yang, pan gao, Zongda Ye, Funing Chen, Liandong Zhu
202432
19
Combining Vis-NIR and NIR Spectral Imaging Techniques with Data Fusion for Rapid and Nondestructive Multi-Quality Detection of Cherry Tomatoes
Foods ·Fei Tan, Xiaoming Mo, Shiwei Ruan, Tianying Yan, Peng Xing, pan gao, Wei Xu, Weixin Ye
202330
20
Stem–Leaf segmentation and phenotypic trait extraction of individual plant using a precise and efficient point cloud segmentation network
Computers and Electronics in Agriculture ·Jing‐Kun Yan, Fei Tan, Chengkai Li, Shichao Jin, Chu Zhang, pan gao, Wei Xu
202430

About pan gao

pan gao is a scholar working on Analytical Chemistry, Plant Science, Ecology, Environmental Engineering and Biophysics, having authored 81 papers that have together received 1.4k indexed citations. Recurring topics across this work include Spectroscopy and Chemometric Analyses (23 papers), Smart Agriculture and AI (18 papers), Remote Sensing in Agriculture (15 papers), Leaf Properties and Growth Measurement (7 papers), Advanced Chemical Sensor Technologies (6 papers), Remote Sensing and Land Use (4 papers), Spectroscopy Techniques in Biomedical and Chemical Research (3 papers) and Land Use and Ecosystem Services (3 papers). The work is most often cited by research in Analytical Chemistry (604 citations), Biophysics (142 citations), Plant Science (503 citations), Waste Management and Disposal (116 citations) and Ecology (178 citations) pan gao has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Chu Zhang, Tianying Yan, Yong He, Wei Xu, Lei Zhou, Lei Feng, Susu Zhu, Qinlin Xiao, Chun Zhang and Yue Xie. Their work appears in journals such as Frontiers in Plant Science, Foods, Molecules, Agronomy and Sustainability.

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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