L. Ding

1.6k total citations
3 papers, 4 citations indexed

About

L. Ding is a scholar working on Industrial and Manufacturing Engineering, Atomic and Molecular Physics, and Optics and Environmental Engineering. According to data from OpenAlex, L. Ding has authored 3 papers receiving a total of 4 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Industrial and Manufacturing Engineering, 1 paper in Atomic and Molecular Physics, and Optics and 1 paper in Environmental Engineering. Recurrent topics in L. Ding's work include Hydrological Forecasting Using AI (1 paper), Water Quality Monitoring and Analysis (1 paper) and Solid-state spectroscopy and crystallography (1 paper). L. Ding is often cited by papers focused on Hydrological Forecasting Using AI (1 paper), Water Quality Monitoring and Analysis (1 paper) and Solid-state spectroscopy and crystallography (1 paper). L. Ding collaborates with scholars based in China and United States. L. Ding's co-authors include Daizhou Zhang, Hong Shan, Xiuli Li, Minghua Zhu, S. Li, Heping Zheng, Dongjie Li, Dandan Han, Jie Chen and Wei Yang and has published in prestigious journals such as BMC Infectious Diseases and Water.

In The Last Decade

L. Ding

2 papers receiving 4 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
L. Ding China	2	1	1	1	1	1	3	4
Z. Hu China	2					1 1.0×	3	5
J. X. Song China	2						3	2
Atsbeha Gebreegziabxier Weldemariam Ethiopia	2						3	2
B. W. Shen China	1			1 1.0×			3	2
H. Lan China	2						3	3
T. Xue China	1						3	2
S. Hu China	1					1 1.0×	6	2
R. Linehan United States	2						3	3
Qorinah Estiningtyas Sakilah Adnani Indonesia	2						3	2

Countries citing papers authored by L. Ding

Since Specialization

Citations

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

Fields of papers citing papers by L. Ding

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of L. Ding

This figure shows the co-authorship network connecting the top 25 collaborators of L. Ding. A scholar is included among the top collaborators of L. Ding 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 L. Ding. L. Ding is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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3 of 3 papers shown

1.

Ding, L., et al.. (2025). 20.11 A Crystal-Less BodyID with an Asynchronous Clockless Leakage-Powered Wake-Up Receiver and Over-the-Channel Clock Recovery. 368–370. 1 indexed citations

2.

Shan, Hong, Minghua Zhu, Yanqian Huang, et al.. (2025). Post-pandemic resurgence of respiratory virus infections: age and department-specific patterns in a Chinese tertiary hospital (2020–2024). BMC Infectious Diseases. 25(1). 1431–1431.

3.

Ding, L., et al.. (2024). A Hybrid Model Combined Deep Neural Network and Beluga Whale Optimizer for China Urban Dissolved Oxygen Concentration Forecasting. Water. 16(20). 2966–2966. 3 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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