Zulong Lai

507 total citations · 1 hit paper
8 papers, 363 citations indexed

About

Zulong Lai is a scholar working on Environmental Engineering, Ecology and Atmospheric Science. According to data from OpenAlex, Zulong Lai has authored 8 papers receiving a total of 363 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Environmental Engineering, 4 papers in Ecology and 4 papers in Atmospheric Science. Recurrent topics in Zulong Lai's work include Remote Sensing and LiDAR Applications (4 papers), Remote Sensing in Agriculture (4 papers) and Remote Sensing and Land Use (3 papers). Zulong Lai is often cited by papers focused on Remote Sensing and LiDAR Applications (4 papers), Remote Sensing in Agriculture (4 papers) and Remote Sensing and Land Use (3 papers). Zulong Lai collaborates with scholars based in China and United States. Zulong Lai's co-authors include Jie Sun, Liping Di, Yonglin Shen, Ziheng Sun, Jianbin Tao, Jin Zhang, Jie Sun, Kaihua Ding, Weihua Li and Xinwen Cheng and has published in prestigious journals such as Sensors, Remote Sensing and IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

In The Last Decade

Zulong Lai

8 papers receiving 350 citations

Hit Papers

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What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

County-Level Soybean Yield Prediction Using Deep CNN-LSTM Model

2019 248 citations Jie Sun, Liping Di et al. Sensors profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Zulong Lai	240	183	76	55	42	8	363
Luan Pierre Pott	298 1.2×	242 1.3×	79 1.0×	72 1.3×	60 1.4×	17	478
Saeed Khaki	296 1.2×	181 1.0×	50 0.7×	81 1.5×	30 0.7×	8	396
Nik Norasma Che’Ya	248 1.0×	151 0.8×	60 0.8×	42 0.8×	29 0.7×	33	385
Danielle Skocaj	368 1.5×	202 1.1×	150 2.0×	53 1.0×	66 1.6×	15	576
Huiren Tian	227 0.9×	244 1.3×	116 1.5×	53 1.0×	82 2.0×	12	439
Francelino A. Rodrigues	263 1.1×	204 1.1×	144 1.9×	54 1.0×	52 1.2×	28	447
Louis Longchamps	312 1.3×	168 0.9×	126 1.7×	55 1.0×	60 1.4×	36	534
Yogesh Anand Rajwade	380 1.6×	131 0.7×	50 0.7×	71 1.3×	48 1.1×	34	514
A. Narmilan	204 0.8×	192 1.0×	72 0.9×	67 1.2×	36 0.9×	31	381
R. N. R. Sibaldelli	384 1.6×	183 1.0×	72 0.9×	76 1.4×	34 0.8×	30	524

Countries citing papers authored by Zulong Lai

Since Specialization

Citations

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

Fields of papers citing papers by Zulong Lai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zulong Lai

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

All Works

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8 of 8 papers shown

Sun, Jie, et al.. (2022). Global and Regional Variations and Main Drivers of Aerosol Loadings over Land during 1980–2018. Remote Sensing. 14(4). 859–859. 4 indexed citations

Zhang, Jin, Zulong Lai, & Jie Sun. (2020). Coastline extraction of remote sensing image by combining Otsu, regional growth method with morphology. Bulletin of Surveying and Mapping. 89. 6 indexed citations

Sun, Jie, Zulong Lai, Liping Di, et al.. (2020). Multilevel Deep Learning Network for County-Level Corn Yield Estimation in the U.S. Corn Belt. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 13. 5048–5060. 98 indexed citations

Sun, Jie, Liping Di, Ziheng Sun, Yonglin Shen, & Zulong Lai. (2019). County-Level Soybean Yield Prediction Using Deep CNN-LSTM Model. Sensors. 19(20). 4363–4363. 248 indexed citations breakdown →

Lai, Zulong. (2009). Multi-scale method for extracting road centerlines from LIDAR datasets. Infrared and Laser Engineering. 3 indexed citations

Lai, Zulong. (2009). An Adaptive Threshold Segmentation Method Based on Spatial Statistic Theory to High-resolution Remote Sensing Change Detection. 1 indexed citations

Lai, Zulong, et al.. (2009). Using LIDAR data and airborne spectral images for urban land cover classification based on fuzzy set method. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7492. 74920I–74920I. 1 indexed citations

Chen, Xingyi, Zulong Lai, Weihua Li, & Xinwen Cheng. (2009). Research on Some Key Technologies of Features Extraction from LIDAR Data in Coastal Zone. 1–3. 2 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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