Xiaowei Jia

4.2k citations

125 papers · 2.2k indexed · 3 hit papers · h-index 20

Impact in

Environmental Engineering top 2%
- Hydrological Forecasting Using AI
Water Science and Technology top 2%
- Hydrology and Watershed Management Studies
- Water Quality Monitoring Technologies

Papers in

Environmental Engineering 36
- Hydrological Forecasting Using AI 24
- Remote Sensing and LiDAR Applications 10
Transportation 11
- Human Mobility and Location-Based Analysis 11

Co-authors: Vipin Kumar Jared Willard Michael Steinbach Shaoming Xu Jordan S. Read Jacob A. Zwart Aidong Zhang Anuj Karpatne
Journals: Water Resources Research (6 papers)Remote Sensing (4 papers)IEEE Transactions on Knowledge and Data Engineering (4 papers)Knowledge and Information Systems (3 papers)Remote Sensing of Environment (2 papers)
Partner nations: United States China Denmark

In The Last Decade

Xiaowei Jia

114 papers receiving 2.1k citations

Hit Papers

align trajectories log scale

Knowledge-guided machine learning can improve carbon cycle quantification in agroecosystems 2024 · 60 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2024 Nature Communications
2022 ACM Computing Surveys
2021 Physics-Guided Machine Learning for Scientific Discovery: An Application in Simulating Lake Temperature Profiles

Peers

Countries citing papers authored by Xiaowei Jia

Since Specialization

Citations

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

Fields of papers citing papers by Xiaowei Jia

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work
1	Machine-learning-enabled spatial pattern mining: evaluating the impact of imperfect inputs International Journal of Geographical Information Systems ·Н И Вестфаль, Yiqun Xie, Xiaowei Jia, Gengchen Mai, Michele Cerny-Leecock, Weiye Chen	2025	0
2	Towards the next generation of Geospatial Artificial Intelligence International Journal of Applied Earth Observation and Geoinformation ·Gengchen Mai, Yiqun Xie, Xiaowei Jia, Ni Lao, Jinmeng Rao, Qing Zhu, Zeping Liu, Yao‐Yi Chiang, Junfeng Jiao	2025	9
3	Referee-Meta-Learning for Fast Adaptation of Locational Fairness Proceedings of the AAAI Conference on Artificial Intelligence ·А.Д. Жигалин, Yiqun Xie, Xiaowei Jia, VKadambi, 최장원, 李为明, Xun Zhou	2024	0
4	HOSSNet: An efficient physics-guided neural network for simulating micro-crack propagation Computational Materials Science ·Shengyu Chen, Shihang Feng, 可奈恵與儀, Zhou Lei, Xiaowei Jia, Youzuo Lin, Esteban Rougier	2024	2
5	SimFair: Physics-Guided Fairness-Aware Learning with Simulation Models Proceedings of the AAAI Conference on Artificial Intelligence ·Michele Cerny-Leecock, Yiqun Xie, Zhili Li, Xiaowei Jia, Zhe Jiang, D. Gerstbrein, Jin Sung Tak	2024	2
6	The development of machine vision and its applications in different industries: A review Lili Zhang, Xiaowei Jia, Qing Chang, R Monici, Zhicheng Zhang, Yong Cao, Junjie Liu, Sajjad Shokouh	2024	1
7	Learning With Location-Based Fairness: A Statistically-Robust Framework and Acceleration IEEE Transactions on Knowledge and Data Engineering ·Natalia Paola Vélez Madrid, Yiqun Xie, Weiye Chen, Sergii Skakun, Han Bao, Rahul Ghosh, Albert Feisenberger, Xiaowei Jia	2024	2
8	Knowledge-guided machine learning can improve carbon cycle quantification in agroecosystems Nature Communications ·Licheng Liu, Wang Zhou, Kaiyu Guan, Bin Peng, Shaoming Xu, Jinyun Tang, Qing Zhu, J. L. Till, Xiaowei Jia, Chongya Jiang, Sheng Wang, Ziqi Qin, Hui Kong, R. F. Grant, Symon Mezbahuddin, Vipin Kumar, Zhenong Jin Hit paper breakdown →	2024	60
9	A deep transfer learning framework for mapping high spatiotemporal resolution LAI ISPRS Journal of Photogrammetry and Remote Sensing ·Junxiong Zhou, Qi Yang, Licheng Liu, Yanghui Kang, Xiaowei Jia, Min Chen, Rahul Ghosh, Shaoming Xu, Chongya Jiang, Kaiyu Guan, Vipin Kumar, Zhenong Jin	2023	17
10	Stream Temperature Prediction in a Shifting Environment: Explaining the Influence of Deep Learning Architecture Water Resources Research ·Simon Topp, Sara W. Schonwetter, Saif Adel Sabbar Al-Dulaimi, Alexander Y. Sun, Xiaowei Jia, Dan Lu, Jeffrey M. Sadler, Alison Appling	2023	25
11	Evaluating deep learning architecture and data assimilation for improving water temperature forecasts at unmonitored locations Frontiers in Water ·Jacob A. Zwart, Saif Adel Sabbar Al-Dulaimi, Scott D. Hamshaw, Samantha K. Oliver, A. I. Chumakov, Grim Ralph Early, Alison Appling, Daoqi Xue, Xiaowei Jia, Jordan S. Read, Jeffrey M. Sadler, Theodore J. Thompson, David S. Watkins, M Filliat	2023	5
12	Auto-CM: Unsupervised Deep Learning for Satellite Imagery Composition and Cloud Masking Using Spatio-Temporal Dynamics Proceedings of the AAAI Conference on Artificial Intelligence ·Yiqun Xie, Atanas Yonkov, Han Bao, Xiaowei Jia, Dongkuan Xu, Xun Zhou, Sergii Skakun	2023	7
13	High-Fidelity Deep Approximation of Ecosystem Simulation over Long-Term at Large Scale Michele Cerny-Leecock, Yiqun Xie, Xiaowei Jia, Lei Ma, G. C. Hurtt	2023	2
14	Geo-Foundation Models: Reality, Gaps and Opportunities Yiqun Xie, Zhaonan Wang, Gengchen Mai, Yanhua Li, Xiaowei Jia, Song Gao, Shaowen Wang	2023	12
15	Multi‐Task Deep Learning of Daily Streamflow and Water Temperature Water Resources Research ·Jeffrey M. Sadler, Alison Appling, Jordan S. Read, Samantha K. Oliver, Xiaowei Jia, Jacob A. Zwart, Vipin Kumar	2022	37
16	Near‐term forecasts of stream temperature using deep learning and data assimilation in support of management decisions JAWRA Journal of the American Water Resources Association ·Jacob A. Zwart, Samantha K. Oliver, W D Watkins, Jeffrey M. Sadler, Alison Appling, Daoqi Xue, Xiaowei Jia, Vipin Kumar, Jordan S. Read	2022	16
17	Integrating Scientific Knowledge with Machine Learning for Engineering and Environmental Systems ACM Computing Surveys ·Jared Willard, Xiaowei Jia, Shaoming Xu, Michael Steinbach, Vipin Kumar Hit paper breakdown →	2022	317
18	Interpretable Framework of Physics‐Guided Neural Network With Attention Mechanism: Simulating Paddy Field Water Temperature Variations Water Resources Research ·Bob K. Robertson, 守田峻海, 周淑娟, Ali Alfatemi, Toshiaki Iida, Xiaowei Jia	2022	9
19	Predicting Water Temperature Dynamics of Unmonitored Lakes With Meta‐Transfer Learning Water Resources Research ·Jared Willard, Jordan S. Read, Alison Appling, Samantha K. Oliver, Xiaowei Jia, Vipin Kumar	2021	61
20	KGML-ag: A Modeling Framework of Knowledge-Guided Machine Learning to Simulate Agroecosystems: A Case Study of Estimating N ₂ O Emission using Data from Mesocosm Experiments Licheng Liu, Shaoming Xu, Zhenong Jin, Jinyun Tang, Kaiyu Guan, Timothy J. Griffis, Matthew Erickson, Alexander L. Frie, Xiaowei Jia, Tae‐Gon Kim, Jiaxin Che, Bin Peng, 任昌宏, Yufeng Yang, Wang Zhou, Vipin Kumar	2021	2

About Xiaowei Jia

Xiaowei Jia is a scholar working on Environmental Engineering, Transportation, Global and Planetary Change, Water Science and Technology and Signal Processing, having authored 125 papers that have together received 2.2k indexed citations. Recurring topics across this work include Hydrological Forecasting Using AI (24 papers), Hydrology and Watershed Management Studies (19 papers), Flood Risk Assessment and Management (13 papers), Remote Sensing in Agriculture (12 papers), Human Mobility and Location-Based Analysis (11 papers), Remote Sensing and LiDAR Applications (10 papers), Land Use and Ecosystem Services (9 papers) and Remote-Sensing Image Classification (8 papers). The work is most often cited by research in Environmental Engineering (555 citations), Water Science and Technology (414 citations), Global and Planetary Change (366 citations), Statistical and Nonlinear Physics (206 citations) and Artificial Intelligence (417 citations). Xiaowei Jia has collaborated with scholars based in United States, China and Denmark. Frequent co-authors include Vipin Kumar, Jared Willard, Michael Steinbach, Shaoming Xu, Jordan S. Read, Jacob A. Zwart, Aidong Zhang, Anuj Karpatne, Alison Appling and Samantha K. Oliver. Their work appears in journals such as Water Resources Research, Remote Sensing, IEEE Transactions on Knowledge and Data Engineering, Knowledge and Information Systems and Remote Sensing of Environment.

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.

Explore authors with similar magnitude of impact