Yize Jiang

620 citations

18 papers · 432 indexed · h-index 11

Impact in

Environmental Engineering top 5%
- Air Quality Monitoring and Forecasting
Health, Toxicology and Mutagenesis top 5%
- Air Quality and Health Impacts

Papers in ⓘ

Atmospheric Science 14
- Atmospheric chemistry and aerosols 13
- Atmospheric Ozone and Climate 4
Environmental Engineering 7
- Air Quality Monitoring and Forecasting 7

Co-authors: Xing Yan (14 shared papers)Zhou Zang (8 shared papers)Zhanqing Li (7 shared papers)Wenzhong Shi (8 shared papers)Nana Luo (1 shared paper)Dan Li (4 shared papers)Nana Luo (5 shared papers)Husi Letu (1 shared paper)
Journals: Environmental Pollution (3 papers)Atmospheric Environment (2 papers)Environmental Science & Technology (2 papers)IEEE Transactions on Geoscience and Remote Sensing (2 papers)International Journal of Applied Earth Observation and Geoinformation (1 paper)
Partner nations: China Hong Kong United States

In The Last Decade

Yize Jiang

18 papers receiving 423 citations

Peers

Countries citing papers authored by Yize Jiang

Since Specialization

Citations

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

Fields of papers citing papers by Yize Jiang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

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18 of 18 papers shown

#	Work
1	New interpretable deep learning model to monitor real-time PM2.5 concentrations from satellite data Environment International ·Xing Yan, Zhou Zang, Nana Luo, Yize Jiang, Zhanqing Li	2020	91
2	A Spatial-Temporal Interpretable Deep Learning Model for improving interpretability and predictive accuracy of satellite-based PM2.5 Environmental Pollution ·Xing Yan, Zhou Zang, Yize Jiang, Wenzhong Shi, Yushan Guo, Dan Li, Chuanfeng Zhao, Husi Letu	2021	77
3	A Deep Learning Approach to Improve the Retrieval of Temperature and Humidity Profiles From a Ground-Based Microwave Radiometer IEEE Transactions on Geoscience and Remote Sensing ·Xing Yan, Liang Chen, Yize Jiang, Nana Luo, Zhou Zang, Zhanqing Li	2020	47
4	Structure-Aware Multimodal Deep Learning for Drug–Protein Interaction Prediction Journal of Chemical Information and Modeling ·Penglei Wang, Shuangjia Zheng, Yize Jiang, Chengtao Li, Junhong Liu, Chang Wen, Atanas Patronov, Dahong Qian, Hongming Chen, Yuedong Yang	2022	47
5	Cooperative simultaneous inversion of satellite-based real-time PM2.5 and ozone levels using an improved deep learning model with attention mechanism Environmental Pollution ·Xing Yan, Chen Zuo, Zhanqing Li, Hans W. Chen, Yize Jiang, Bin He, Huiming Liu, Jiayi Chen, Wenzhong Shi	2023	33
6	Tree-based ensemble deep learning model for spatiotemporal surface ozone (O3) prediction and interpretation International Journal of Applied Earth Observation and Geoinformation ·Zhou Zang, Yushan Guo, Yize Jiang, Chen Zuo, Dan Li, Wenzhong Shi, Xing Yan	2021	28
7	A global land aerosol fine-mode fraction dataset (2001–2020) retrieved from MODIS using hybrid physical and deep learning approaches Earth system science data ·Xing Yan, Zhou Zang, Zhanqing Li, Nana Luo, Chen Zuo, Yize Jiang, Dan Li, Yushan Guo, Wenji Zhao, Wenzhong Shi, Maureen Cribb	2022	22
8	Explainable and spatial dependence deep learning model for satellite-based O3 monitoring in China Atmospheric Environment ·Nana Luo, Zhou Zang, Chuan Yin, Mingyuan Liu, Yize Jiang, Zuo Chen, Wenji Zhao, Wenzhong Shi, Xing Yan	2022	22
9	Evaluation of four meteorological reanalysis datasets for satellite-based PM2.5 retrieval over China Atmospheric Environment ·Chen Zuo, Jiayi Chen, Yue Zhang, Yize Jiang, Mingyuan Liu, Huiming Liu, Wenji Zhao, Xing Yan	2023	21
10	Unveiling global land fine- and coarse-mode aerosol dynamics from 2005 to 2020 using enhanced satellite-based monthly inversion data Environmental Pollution ·Nana Luo, Yue Zhang, Yize Jiang, Chen Zuo, Jiayi Chen, Wenji Zhao, Wenzhong Shi, Xing Yan	2024	11
11	Combining physical mechanisms and deep learning models for hourly surface ozone retrieval in China Journal of Environmental Management ·Xing Yan, Yushan Guo, Yue Zhang, Jiayi Chen, Yize Jiang, Chen Zuo, Wenji Zhao, Wenzhong Shi	2023	10
12	Deep Learning with Pretrained Framework Unleashes the Power of Satellite-Based Global Fine-Mode Aerosol Retrieval Environmental Science & Technology ·Xing Yan, Zhou Zang, Zhanqing Li, Hans W. Chen, Jiayi Chen, Yize Jiang, Yunhao Chen, Bin He, Zuo Chen, Terry Nakajima, Jhoon Kim	2024	7
13	Substantial Underestimation of Fine-Mode Aerosol Loading from Wildfires and Its Radiative Effects in Current Satellite-Based Retrievals over the United States Environmental Science & Technology ·Xing Yan, Zuo Chen, Zhanqing Li, Hans W. Chen, Yize Jiang, Qiao Wang, Guoqiang Wang, Kun Jia, A Yinglan, Ziyue Chen, Jiayi Chen	2024	6
14	Real-time Face Recognition using SVM, MLP and CNN Guannan He, Yize Jiang	2022	5
15	Spectral Deconvolution Algorithm for Global Fine-Mode Aerosol Retrieval in the 1990s Using Dual-Angle Satellite Aerosol Data IEEE Transactions on Geoscience and Remote Sensing ·Xing Yan, Jiayi Chen, Chen Zuo, Yize Jiang, Bin He	2023	2
16	A global land aerosol fine-mode fraction dataset (2001–2020) retrieved from MODIS using hybrid physical and deep learning approaches Xing Yan, Zhou Zang, Zhanqing Li, Nana Luo, Chen Zuo, Yize Jiang, Dan Li, Yushan Guo, Wenji Zhao, Wenzhong Shi, Maureen Cribb	2021	1
17	Position-gram - A Visual Method for Detecting Transient Events in Continuous GPS Time Series AGUFM ·Yize Jiang, Shimon Wdowinski	2008	1
18	Aperiodically intermittent-based filtering in sensor networks Journal of the Franklin Institute ·Yongbao Wu, Yize Jiang, Fuyong Wang, Zhu‐Hong You	2023	1

About Yize Jiang

Yize Jiang is a scholar working on Atmospheric Science, Environmental Engineering, Global and Planetary Change, Health, Toxicology and Mutagenesis and Signal Processing, having authored 18 papers that have together received 432 indexed citations. Recurring topics across this work include Atmospheric chemistry and aerosols (13 papers), Atmospheric aerosols and clouds (7 papers), Air Quality Monitoring and Forecasting (7 papers), Atmospheric and Environmental Gas Dynamics (4 papers), Air Quality and Health Impacts (4 papers), Atmospheric Ozone and Climate (4 papers), Time Series Analysis and Forecasting (1 paper) and Computational Drug Discovery Methods (1 paper). The work is most often cited by research in Environmental Engineering (229 citations), Health, Toxicology and Mutagenesis (180 citations), Atmospheric Science (228 citations), Global and Planetary Change (190 citations) and Computational Theory and Mathematics (41 citations). Yize Jiang has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Xing Yan, Zhou Zang, Zhanqing Li, Wenzhong Shi, Nana Luo, Dan Li, Nana Luo, Husi Letu, Chuanfeng Zhao and Jiayi Chen. Their work appears in journals such as Environmental Pollution, Atmospheric Environment, Environmental Science & Technology, IEEE Transactions on Geoscience and Remote Sensing and International Journal of Applied Earth Observation and Geoinformation.

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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