Zongjun Wu

835 citations
38 papers · 565 · h-index 17

Impact in

Papers in

  • Plant Science 19
    • Plant Physiology and Cultivation Studies 6
    • Greenhouse Technology and Climate Control 5
    • Smart Agriculture and AI 5
  • Soil Science 16
    • Irrigation Practices and Water Management 12
Co-authors
Ningbo Cui (37 shared papers)Daozhi Gong (27 shared papers)Liwen Xing (20 shared papers)Shouzheng Jiang (13 shared papers)Li Guo (7 shared papers)Chunwei Liu (6 shared papers)Yaosheng Wang (10 shared papers)Lu Zhao (5 shared papers)
Journals
Agricultural Water Management (16 papers)Journal of Hydrology (8 papers)Remote Sensing (2 papers)Computers and Electronics in Agriculture (2 papers)Atmosphere (2 papers)
Partner nations
ChinaCanadaUnited States

In The Last Decade

Zongjun Wu

37 papers receiving 558 citations

Peers

Zongjun Wu
Comparison fields: 5 of 68
  • Environmental Engineering 170
  • Soil Science 109
  • Global and Planetary Change 221
  • Water Science and Technology 91
  • Plant Science 153
Replace Wenjun Yue with:
Wenjun Yue China
Levent Şaylan Türkiye
Liwen Xing China
Abolfazl Majnooni-Heris Iran
Md Rowshon Kamal Malaysia
M.A. Jiménez-Bello Spain
Ali Rahimikhoob Iran
Lucas Borges Ferreira Brazil
Roberto Filgueiras Brazil
A. Salim Bawazir United States
Zongjun Wu relative to Wenjun Yue China Wenjun Yue's profile →
Citations per field
00.5×2×3.4×
Wenjun Yue · 1×
Citations per year

Countries citing papers authored by Zongjun Wu

Since Specialization
Citations

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

Fields of papers citing papers by Zongjun Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Optimization of extreme learning machine model with biological heuristic algorithms to estimate daily reference crop evapotranspiration in different climatic regions of China
Journal of Hydrology ·Zongjun Wu, Ningbo Cui, Xiaotao Hu, Daozhi Gong, Yaosheng Wang, Yu Feng, Shouzheng Jiang, Min Lv, Le Han, Liwen Xing, Shidan Zhu, Bin Zhu, Yixuan Zhang, Qingyao Zou, Ziling He
202141
2
Generalized Extreme Gradient Boosting model for predicting daily global solar radiation for locations without historical data
Energy Conversion and Management ·Rangjian Qiu, Chunwei Liu, Ningbo Cui, Yang Gao, Longan Li, Zongjun Wu, Shouzheng Jiang, Meng Hu
202240
3
Estimation of maize evapotranspiration in semi-humid regions of northern China using Penman-Monteith model and segmentally optimized Jarvis model
Journal of Hydrology ·Zongjun Wu, Ningbo Cui, Lu Zhao, Le Han, Xiaotao Hu, Huanjie Cai, Daozhi Gong, Liwen Xing, Xi Chen, Bin Zhu, Min Lv, Shidan Zhu, Quanshan Liu
202232
4
Simulation of daily maize evapotranspiration at different growth stages using four machine learning models in semi-humid regions of northwest China
Journal of Hydrology ·Zongjun Wu, Ningbo Cui, Daozhi Gong, Feiyu Zhu, Liwen Xing, Bin Zhu, Xi Chen, Shengling Wen, Quanshan Liu
202230
5
Predicting daily global solar radiation in various climatic regions of China based on hybrid support vector machines with meta-heuristic algorithms
Journal of Cleaner Production ·Zongjun Wu, Ningbo Cui, Daozhi Gong, Feiyu Zhu, Yanling Li, Liwen Xing, Zhihui Wang, Bin Zhu, Xi Chen, Shengling Wen, Yuxuan Zha
202228
6
Estimation of Soil Moisture Using Multi-Source Remote Sensing and Machine Learning Algorithms in Farming Land of Northern China
Remote Sensing ·Quanshan Liu, Zongjun Wu, Ningbo Cui, Xiuliang Jin, Shidan Zhu, Shouzheng Jiang, Lu Zhao, Daozhi Gong
202327
7
Estimating daily reference evapotranspiration using a novel hybrid deep learning model
Journal of Hydrology ·Liwen Xing, Ningbo Cui, Li Guo, Taisheng Du, Daozhi Gong, Cun Zhan, Long Zhao, Zongjun Wu
202227
8
Estimating reference evapotranspiration using Penman-Monteith equation integrated with optimized solar radiation models
Journal of Hydrology ·Liwen Xing, Yu Feng, Ningbo Cui, Li Guo, Taisheng Du, Zongjun Wu, Yixuan Zhang, Shenglin Wen, Daozhi Gong, Lu Zhao
202323
9
Digital Mapping of Root-Zone Soil Moisture Using UAV-Based Multispectral Data in a Kiwifruit Orchard of Northwest China
Remote Sensing ·Shidan Zhu, Ningbo Cui, Ji Zhou, Jingyuan Xue, Zhihui Wang, Zongjun Wu, Mingjun Wang, Qingling Deng
202320
10
Estimation of soil moisture in drip-irrigated citrus orchards using multi-modal UAV remote sensing
Agricultural Water Management ·Zongjun Wu, Ningbo Cui, Wenjiang Zhang, Yenan Yang, Daozhi Gong, Quanshan Liu, Lu Zhao, Liwen Xing, Qingyan He, Shidan Zhu, Shunsheng Zheng, Shenglin Wen, Bin Zhu
202420
11
Optimized empirical model based on whale optimization algorithm for simulate daily reference crop evapotranspiration in different climatic regions of China
Journal of Hydrology ·Zongjun Wu, Xi Chen, Ningbo Cui, Bin Zhu, Daozhi Gong, Le Han, Liwen Xing, Shunsheng Zhen, Qiling Li, Quanshan Liu, Fang Pei
202220
12
Enhancing precision of root-zone soil moisture content prediction in a kiwifruit orchard using UAV multi-spectral image features and ensemble learning
Computers and Electronics in Agriculture ·Shidan Zhu, Ningbo Cui, Li Guo, Huaan Jin, Xiuliang Jin, Shouzheng Jiang, Zongjun Wu, Min Lv, Fei Chen, Quanshan Liu, Mingjun Wang
202419
13
Parameter regionalization based on machine learning optimizes the estimation of reference evapotranspiration in data deficient area
The Science of The Total Environment ·Zhangkang Shu, You Zhou, Jianyun Zhang, Junliang Jin, Lin Wang, Ningbo Cui, Guoqing Wang, Jiangjiang Zhang, Houfa Wu, Zongjun Wu, Xi Chen
202218
14
Inversion of large-scale citrus soil moisture using multi-temporal Sentinel-1 and Landsat-8 data
Agricultural Water Management ·Zongjun Wu, Ningbo Cui, Wenjiang Zhang, Daozhi Gong, Chunwei Liu, Quanshan Liu, Shunsheng Zheng, Zhihui Wang, Lu Zhao, Yenan Yang
202418
15
Optimization of multi-dimensional indices for kiwifruit orchard soil moisture content estimation using UAV and ground multi-sensors
Agricultural Water Management ·Shidan Zhu, Ningbo Cui, Huaan Jin, Xiuliang Jin, Li Guo, Shouzheng Jiang, Zongjun Wu, Min Lv, Fei Chen, Quanshan Liu, Mingjun Wang
202417
16
Apple tree transpiration estimated using the Penman-Monteith model integrated with optimized jarvis model
Agricultural Water Management ·Liwen Xing, Lu Zhao, Ningbo Cui, Chunwei Liu, Li Guo, Taisheng Du, Zongjun Wu, Daozhi Gong, Shouzheng Jiang
202217
17
Estimating soil moisture content in citrus orchards using multi-temporal sentinel-1A data-based LSTM and PSO-LSTM models
Journal of Hydrology ·Zongjun Wu, Ningbo Cui, Wenjiang Zhang, Chunwei Liu, Xiuliang Jin, Daozhi Gong, Liwen Xing, Lu Zhao, Shenglin Wen, Yenan Yang
202416
18
Soil moisture content estimation of drip-irrigated citrus orchard based on UAV images and machine learning algorithm in Southwest China
Agricultural Water Management ·Quanshan Liu, Zongjun Wu, Ningbo Cui, Shunsheng Zheng, Shidan Zhu, Shouzheng Jiang, Zhihui Wang, Daozhi Gong, Yaosheng Wang, Lu Zhao
202412
19
Deficit drip irrigation improves kiwifruit quality and water productivity under rain-shelter cultivation in the humid area of South China
Agricultural Water Management ·Shunsheng Zheng, Shouzheng Jiang, Ningbo Cui, Lu Zhao, Daozhi Gong, Yaosheng Wang, Zongjun Wu, Quanshan Liu
202312
20
Determining effect of fertilization on reactive nitrogen losses through nitrate leaching and key influencing factors in Chinese agricultural systems
Agricultural Water Management ·Shenglin Wen, Ningbo Cui, Yaosheng Wang, Daozhi Gong, Liwen Xing, Zongjun Wu, Yixuan Zhang, Zhihui Wang
202411

About Zongjun Wu

Zongjun Wu is a scholar working on Plant Science, Soil Science, Global and Planetary Change, Ecology and Artificial Intelligence, having authored 38 papers that have together received 565 indexed citations. Recurring topics across this work include Plant Water Relations and Carbon Dynamics (16 papers), Irrigation Practices and Water Management (12 papers), Remote Sensing in Agriculture (10 papers), Solar Radiation and Photovoltaics (8 papers), Plant Physiology and Cultivation Studies (6 papers), Soil Moisture and Remote Sensing (5 papers), Greenhouse Technology and Climate Control (5 papers) and Smart Agriculture and AI (5 papers). The work is most often cited by research in Environmental Engineering (170 citations), Soil Science (109 citations), Global and Planetary Change (221 citations), Water Science and Technology (91 citations) and Plant Science (153 citations). Zongjun Wu has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Ningbo Cui, Daozhi Gong, Liwen Xing, Shouzheng Jiang, Li Guo, Chunwei Liu, Yaosheng Wang, Lu Zhao, Lu Zhao and Bin Zhu. Their work appears in journals such as Agricultural Water Management, Journal of Hydrology, Remote Sensing, Computers and Electronics in Agriculture and Atmosphere.

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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