Chao Ni

2.2k citations

58 papers · 1.8k indexed · 1 hit paper · h-index 16

Renewable Energy, Sustainability and the Environment top 2%
Materials Chemistry top 5%
Analytical Chemistry top 2%
- Spectroscopy and Chemometric Analyses 16
Electronic, Optical and Magnetic Materials top 10%
Industrial and Manufacturing Engineering top 5%
- Industrial Vision Systems and Defect Detection 11
Plant Science
- Smart Agriculture and AI 9
- Leaf Properties and Growth Measurement 5
Ecology
- Remote Sensing in Agriculture 4
Biomedical Engineering
- Advanced Chemical Sensor Technologies 4
Media Technology
- Remote-Sensing Image Classification 4
Artificial Intelligence
- Solar Radiation and Photovoltaics 3

Co-authors: Y TSENG Chihpin Huang Hong Lin Dongyi Wang S. İsmat Shah Tingting Zhu Zhenye Li Yang Tao
Cited by: Renewable Energy, Sustainability and the Environment Materials Chemistry Analytical Chemistry
Partner nations: China United States United Kingdom

In The Last Decade

Chao Ni

54 papers receiving 1.8k citations

Hit Papers

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What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

2006 Size dependency of nanocrystalline TiO2 on its optical property and photocatalytic reactivity exemplified by 2-chlorophenol

Peers

Countries citing papers authored by Chao Ni

Since Specialization

Citations

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

Fields of papers citing papers by Chao Ni

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

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20 of 20 papers shown

#	Work
1	The Rapid Detection of Foreign Fibers in Seed Cotton Based on Hyperspectral Band Selection and a Lightweight Neural Network Yeqi Fei,Zhenye Li,Dongyi Wang,Chao Ni	2025	0
2	YOLO-ALDS: an instance segmentation framework for tomato defect segmentation and grading based on active learning and improved YOLO11 Sheng Xue,Zhenye Li,D Wang,Tingting Zhu,Baohua Zhang,Chao Ni	2025	0
3	Rep-MobileViT: Texture and Color Classification of Solid Wood Floors Based on a Re-Parameterized CNN-Transformer Hybrid Model Anning Duanmu,Sheng Xue,Zhenye Li,Yajun Zhang,Chao Ni	2025	1
4	Tuning Room-Temperature Injectability of Gelatin-Based Hydrogels via Introduction of Competitive Hydrogen Bonds Dong‐Lin Xie,Jiang Bian,Chao Ni,Pei Zhao,Zuo Pu,Jun Yue	2025	1
5	The enhancement of freeze-thaw stability for wheat starch: A comparative study of inulin with different degrees of polymerization Meifang Zhong,Chao Ni,Naixia Gong,Xiantong Wu,Yixuan Wu,Mingchun Du,Zebin Guo,Kaibo Deng,Xu Lu	2025	1
6	Nondestructive detection and classification of impurities-containing seed cotton based on hyperspectral imaging and one-dimensional convolutional neural network Yeqi Fei,Zhenye Li,Tingting Zhu,Zengtao Chen,Chao Ni	2024	1
7	CCG-YOLOv7: A Wood Defect Detection Model for Small Targets Using Improved YOLOv7 Wenqi Cui,Zhenye Li,Anning Duanmu,Sheng Xue,Yiren Guo,Chao Ni,Tingting Zhu,Yajun Zhang	2024	12
8	SSNet: Exploiting Spatial Information for Tobacco Stem Impurity Detection With Hyperspectral Imaging Chao Zhou,Zhenye Li,Dongyi Wang,Sheng Xue,Tingting Zhu,Chao Ni	2024	1
9	CloudpredNet: An Ultra-Short-Term Movement Prediction Model for Ground-Based Cloud Image Liang Wei,Tingting Zhu,Yiren Guo,Chao Ni,Qingyuan Zheng	2023	9
10	SCNet: A deep learning network framework for analyzing near-infrared spectroscopy using short-cut Zhenye Li,Dongyi Wang,Tingting Zhu,Chao Ni,Chao Zhou	2023	5
11	Few-Shot Learning for Small Impurities in Tobacco Stems With Improved YOLOv7 Sheng Xue,Zhenye Li,Rui Wu,Tingting Zhu,Yangchun Yuan,Chao Ni	2023	12
12	Online small-object anti-fringe sorting of tobacco stem impurities based on hyperspectral superpixels Zhenye Li,Chao Ni,Rui Wu,Tingting Zhu,Lei Cheng,Yangchun Yuan,Chao Zhou	2023	8
13	MMST: A Multi-Modal Ground-Based Cloud Image Classification Method Liang Wei,Tingting Zhu,Yiren Guo,Chao Ni	2023	4
14	Detection of Moisture Content of Pinus massoniana Lamb. Seedling Leaf Based on NIR Spectroscopy with a Multi-Learner Model Yurong Li,Haifei Xia,Ying Liu,Lintao Huo,Chao Ni,Binli Gou	2023	6
15	Intelligent identification of film on cotton based on hyperspectral imaging and convolutional neural network Zongbin Liu,Ling Zhao,Xin Yu,Yiqing Zhang,Jianping Cui,Chao Ni,Laigang Zhang	2022	4
16	A method for continuously monitoring the quality of Masson pine seedlings Li Wang,Zhuo Huang,Handong Gao,Chao Ni	2021	3
17	Moisture Content Quantization of Masson Pine Seedling Leaf Based on Stacked Autoencoder with Near-Infrared Spectroscopy Chao Ni,Yun Zhang,Dongyi Wang	2018	7
18	<i>Convolution Neural Network Based Automatic Corn Kernel Qualification</i> Chao Ni,Dongyi Wang,Maxwell Holmes,Robert Vinson,Tao Yang	2018	4
19	Highly‐Ordered, 3D Petal‐Like Array for Surface‐Enhanced Raman Scattering Chuang Qian,Chao Ni,Wenxuan Yu,Wengang Wu,Haiyang Mao,Yifei Wang,Jun Xu	2011	33
20	Antibacterial Properties of Silver‐Doped Titania Johannes Thiel,Lisa Pakstis,Scott Buzby,Muhammad Raffi,Chao Ni,Darrin J. Pochan,S. İsmat Shah	2007	234

About Chao Ni

Chao Ni is a scholar working on Analytical Chemistry, Industrial and Manufacturing Engineering and Media Technology, having authored 58 papers that have together received 1.8k indexed citations. Recurring topics across this work include Spectroscopy and Chemometric Analyses (16 papers), Industrial Vision Systems and Defect Detection (11 papers), Smart Agriculture and AI (9 papers), Leaf Properties and Growth Measurement (5 papers), Remote Sensing in Agriculture (4 papers), Advanced Chemical Sensor Technologies (4 papers), Remote-Sensing Image Classification (4 papers) and Solar Radiation and Photovoltaics (3 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (706 citations), Materials Chemistry (941 citations) and Analytical Chemistry (172 citations). Chao Ni has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Y TSENG, Chihpin Huang, Hong Lin, Dongyi Wang, S. İsmat Shah, Tingting Zhu, Zhenye Li, Yang Tao, Muhammad Raffi and Johannes Thiel.

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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