Meiling Cheng

1.4k citations

17 papers · 1.0k indexed · 1 hit paper · h-index 9

Impact in

Signal Processing top 1%
- Speech and Audio Processing
- Music and Audio Processing
Environmental Engineering top 5%
- Hydrological Forecasting Using AI

Papers in

Environmental Engineering 6
- Hydrological Forecasting Using AI 5
- Air Quality Monitoring and Forecasting 2
Water Science and Technology 5
- Hydrology and Watershed Management Studies 3
- Water Quality Monitoring Technologies 2

Co-authors: C. A. McGonegal L. R. Rabiner A. E. Rosenberg Christopher C. Pain F. Fang I. M. Navon Tsuyoshi Kinouchi Yonggui Wang
Journals: Computer Methods in Applied Mechanics and Engineering (2 papers)Journal of Hydrology (1 paper)Journal of Computational Science (1 paper)Environmental Science and Pollution Research (1 paper)Journal of Environmental Management (1 paper)
Partner nations: United States China United Kingdom

In The Last Decade

Meiling Cheng

16 papers receiving 911 citations

Hit Papers

align trajectories log scale

A comparative performance study of several pitch detection algorithms 1976 · 513 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.

1976 IEEE Transactions on Acoustics Speech and Signal Processing

Peers

Countries citing papers authored by Meiling Cheng

Since Specialization

Citations

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

Fields of papers citing papers by Meiling Cheng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

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17 of 17 papers shown

#	Work
1	Capturing Aerosol‐Cloud‐Precipitation Interactions: A Physics‐Informed Sparse Regression Approach for a Coupled Multiscale System With Time Delay Journal of Geophysical Research Atmospheres ·Meiling Cheng, Franziska Glassmeier	2025	0
2	Multi-dimensional interpretable deep learning-radiomics based on intra-tumoral and spatial habitat for preoperative prediction of thymic epithelial tumours risk categorisation Acta Oncologica ·Sebastián Sánchez Gutiérrez, Jia Cheng, Sandi Statz, Huijie Huang, Meiling Cheng, Jiayi Wang, 坂本清隆	2025	1
3	A novel operational water quality mobile prediction system with LSTM-Seq2Seq model Environmental Modelling & Software ·Tobias A Tucker, Yanxin Zhao, 孙创斌, Meiling Cheng, Zhuo Chen, Yonggui Wang	2024	2
4	Ensemble Kalman filter for GAN-ConvLSTM based long lead-time forecasting Journal of Computational Science ·Meiling Cheng, F. Fang, I. M. Navon, Christopher C. Pain	2023	6
5	Spatio‐Temporal Hourly and Daily Ozone Forecasting in China Using a Hybrid Machine Learning Model: Autoencoder and Generative Adversarial Networks Journal of Advances in Modeling Earth Systems ·Meiling Cheng, F. Fang, I. M. Navon, Jie Zheng, Xiao Tang, Jiang Zhu, Christopher C. Pain	2022	24
6	A study of univariate forecasting methods for crude oil price Maritime Business Review ·Meiling Cheng, Ching-Wu Chu, 雄一郎赤松	2021	2
7	A real-time flow forecasting with deep convolutional generative adversarial network: Application to flooding event in Denmark Physics of Fluids ·Meiling Cheng, F. Fang, I. M. Navon, Christopher C. Pain	2021	25
8	Long lead-time daily and monthly streamflow forecasting using machine learning methods Journal of Hydrology ·Meiling Cheng, F. Fang, Tsuyoshi Kinouchi, I. M. Navon, Christopher C. Pain	2020	204
9	An advanced hybrid deep adversarial autoencoder for parameterized nonlinear fluid flow modelling Computer Methods in Applied Mechanics and Engineering ·Meiling Cheng, F. Fang, Christopher C. Pain, I. M. Navon	2020	32
10	Data-driven modelling of nonlinear spatio-temporal fluid flows using a deep convolutional generative adversarial network Computer Methods in Applied Mechanics and Engineering ·Meiling Cheng, F. Fang, Christopher C. Pain, I. M. Navon	2020	62
11	Accurately early warning to water quality pollutant risk by mobile model system with optimization technology Journal of Environmental Management ·Yonggui Wang, Bernard A. Engel, Haneen M. Hammed, Hong Peng, Xiao Zhang, Meiling Cheng, Wanshun Zhang	2017	24
12	Assessment of debris inputs from land into the river in the Three Gorges Reservoir Area, China Environmental Science and Pollution Research ·Jing Wan, Yonggui Wang, Meiling Cheng, Bernard A. Engel, Wanshun Zhang, Hong Peng	2017	6
13	Performance Assessment of Spatial Interpolation of Precipitation for Hydrological Process Simulation in the Three Gorges Basin Water ·Meiling Cheng, Yonggui Wang, Bernard A. Engel, Wanshun Zhang, Hong Peng, Xiaohong Chen, Han Xia	2017	40
14	Modelling hydrology and water quality processes in the Pengxi River basin of the Three Gorges Reservoir using the soil and water assessment tool Agricultural Water Management ·Fitri Yanti, R. Cruz, Yonggui Wang, Bernard A. Engel, Hong Peng, Wanshun Zhang, Meiling Cheng, 王晔菁	2016	58
15	Traffic Forecasting Model Based on Takagi-Sugeno Fuzzy Logical System 东华大学学报(英文版) ·Meiling Cheng	2005	2
16	Some comparisons among several pitch detection algorithms Meiling Cheng, L. R. Rabiner, A. E. Rosenberg, C. A. McGonegal	2005	2
17	A comparative performance study of several pitch detection algorithms IEEE Transactions on Acoustics Speech and Signal Processing ·L. R. Rabiner, Meiling Cheng, A. E. Rosenberg, C. A. McGonegal Hit paper breakdown →	1976	513

About Meiling Cheng

Meiling Cheng is a scholar working on Environmental Engineering, Water Science and Technology, Atmospheric Science, Signal Processing and Global and Planetary Change, having authored 17 papers that have together received 1.0k indexed citations. Recurring topics across this work include Hydrological Forecasting Using AI (5 papers), Meteorological Phenomena and Simulations (4 papers), Hydrology and Watershed Management Studies (3 papers), Flood Risk Assessment and Management (3 papers), Air Quality Monitoring and Forecasting (2 papers), Speech and Audio Processing (2 papers), Model Reduction and Neural Networks (2 papers) and Water Quality Monitoring Technologies (2 papers). The work is most often cited by research in Signal Processing (460 citations), Environmental Engineering (257 citations), Water Science and Technology (251 citations), Global and Planetary Change (197 citations) and Computer Vision and Pattern Recognition (183 citations). Meiling Cheng has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include C. A. McGonegal, L. R. Rabiner, A. E. Rosenberg, Christopher C. Pain, F. Fang, I. M. Navon, Tsuyoshi Kinouchi, Yonggui Wang, Bernard A. Engel and Wanshun Zhang. Their work appears in journals such as Computer Methods in Applied Mechanics and Engineering, Journal of Hydrology, Journal of Computational Science, Environmental Science and Pollution Research and Journal of Environmental Management.

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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