Lyu Li

421 total citations
14 papers, 336 citations indexed

About

Lyu Li is a scholar working on Environmental Engineering, Water Science and Technology and Automotive Engineering. According to data from OpenAlex, Lyu Li has authored 14 papers receiving a total of 336 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Environmental Engineering, 7 papers in Water Science and Technology and 6 papers in Automotive Engineering. Recurrent topics in Lyu Li's work include Hydrological Forecasting Using AI (7 papers), Water Quality Monitoring Technologies (6 papers) and Advanced Battery Technologies Research (6 papers). Lyu Li is often cited by papers focused on Hydrological Forecasting Using AI (7 papers), Water Quality Monitoring Technologies (6 papers) and Advanced Battery Technologies Research (6 papers). Lyu Li collaborates with scholars based in China and United States. Lyu Li's co-authors include Yu Peng, Datong Liu, Yuchen Song, Haitao Liao, Lifeng Wu, Meng Fang, Ning Wang, Fang Meng, Ning Wang and Yandong Hou and has published in prestigious journals such as Journal of Cleaner Production, Scientific Reports and International Journal of Electrical Power & Energy Systems.

In The Last Decade

Lyu Li

13 papers receiving 326 citations

Peers

Lyu Li

AE

EEE

CSE

SRRQ

AI

Tadele Mamo Taiwan

Sadiqa Jafari South Korea

Amir Ahadi Iran

Denesh Sooriamoorthy Malaysia

S. Ahmadi Iran

N. P. Patidar India

F. Chan Mexico

Nimal Madhu M. Thailand

Ni Lin China

Iram Akhtar India

Tadele Mamo Taiwan

Lyu Li

227 ×0.9

AE

257 ×1.2

EEE

88 ×0.9

CSE

82 ×1.0

SRRQ

43 ×1.5

AI

Citations per year, relative to Lyu Li Lyu Li (= 1×) peers Tadele Mamo

Countries citing papers authored by Lyu Li

Since Specialization

Citations

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

Fields of papers citing papers by Lyu Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lyu Li

This figure shows the co-authorship network connecting the top 25 collaborators of Lyu Li. A scholar is included among the top collaborators of Lyu Li based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lyu Li. Lyu Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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14 of 14 papers shown

1.

Li, Lyu, et al.. (2024). Long-term prediction of multiple river water quality indexes based on hybrid deep learning models. Measurement Science and Technology. 35(12). 125803–125803. 1 indexed citations

2.

Li, Lyu, et al.. (2023). Application of machine learning model optimized by improved sparrow search algorithm in water quality index time series prediction. Multimedia Tools and Applications. 83(6). 16097–16120. 9 indexed citations

3.

Li, Lyu, et al.. (2023). Application of hybrid improved temporal convolution network model in time series prediction of river water quality. Scientific Reports. 13(1). 11260–11260. 15 indexed citations

4.

Meng, Fang, et al.. (2023). Application of unsupervised clustering model based on graph embedding in water environment. Scientific Reports. 13(1). 22774–22774. 2 indexed citations

5.

Wang, Ning, et al.. (2023). Application of Seq2Seq Model Based on TCN-GRU to Multivariate Water Quality Time Series Prediction. 201–205. 1 indexed citations

6.

Li, Lyu, et al.. (2022). Application of Deep Learning and Transfer Learning in Continuous Missing Value Imputation of Water Quality Data. 1211–1216. 1 indexed citations

7.

Li, Lyu, Meng Fang, Ning Wang, & Jian Wu. (2021). Water Level Prediction Model Based on GCN and LSTM. 2021 7th International Conference on Computer and Communications (ICCC). 1600–1605. 1 indexed citations

8.

Liu, Datong, Lyu Li, Yuchen Song, Lifeng Wu, & Yu Peng. (2019). Hybrid state of charge estimation for lithium-ion battery under dynamic operating conditions. International Journal of Electrical Power & Energy Systems. 110. 48–61. 101 indexed citations

9.

Song, Yuchen, Lyu Li, Yandong Hou, et al.. (2019). A Numerical Study of Lithium-ion Battery Degradation Feature Extraction based on Transfer Function. DEStech Transactions on Environment Energy and Earth Science. 1 indexed citations

10.

Song, Yuchen, Lyu Li, Yu Peng, & Datong Liu. (2018). Lithium-Ion Battery Remaining Useful Life Prediction Based on GRU-RNN. 317–322. 48 indexed citations

11.

Song, Yuchen, Datong Liu, Lyu Li, & Yu Peng. (2018). Lithium-Ion Battery Pack On-Line Degradation State Prognosis Based on the Empirical Model. 402–407. 11 indexed citations

12.

Li, Lyu, Yu Peng, Yuchen Song, & Datong Liu. (2018). Lithium-Ion Battery Remaining Useful Life Prognostics Using Data-Driven Deep Learning Algorithm. 1094–1100. 25 indexed citations

13.

Liu, Datong, Yuchen Song, Lyu Li, Haitao Liao, & Yu Peng. (2018). On-line life cycle health assessment for lithium-ion battery in electric vehicles. Journal of Cleaner Production. 199. 1050–1065. 119 indexed citations

14.

Li, Lyu, et al.. (2013). An Analysis on the Spatial Diffusion Network of Shanghai World Expo Tourists. Luyou xuekan. 28(6). 111–119. 1 indexed citations

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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