Weibo Ma

441 total citations
11 papers, 344 citations indexed

About

Weibo Ma is a scholar working on Artificial Intelligence, Environmental Engineering and Nature and Landscape Conservation. According to data from OpenAlex, Weibo Ma has authored 11 papers receiving a total of 344 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 5 papers in Environmental Engineering and 3 papers in Nature and Landscape Conservation. Recurrent topics in Weibo Ma's work include Geochemistry and Geologic Mapping (4 papers), Remote Sensing and LiDAR Applications (4 papers) and Forest ecology and management (3 papers). Weibo Ma is often cited by papers focused on Geochemistry and Geologic Mapping (4 papers), Remote Sensing and LiDAR Applications (4 papers) and Forest ecology and management (3 papers). Weibo Ma collaborates with scholars based in China and United States. Weibo Ma's co-authors include Kun Tan, Qian Du, Haidong Li, Peijun Du, Lihan Chen, Huimin Wang, Bokun Yan, Rongyuan Liu, Jiarong Tian and Qingwu Hu and has published in prestigious journals such as Journal of Hazardous Materials, Agriculture Ecosystems & Environment and Computers and Electronics in Agriculture.

In The Last Decade

Weibo Ma

9 papers receiving 335 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Weibo Ma China	6	179	165	91	76	63	11	344
L. E. Vicente Brazil	13	305 1.7×	251 1.5×	90 1.0×	153 2.0×	61 1.0×	40	514
Nisha Bao China	13	171 1.0×	121 0.7×	59 0.6×	144 1.9×	46 0.7×	26	373
Yingqiang Song China	9	140 0.8×	93 0.6×	27 0.3×	75 1.0×	32 0.5×	27	291
Cornelia Gläßer Germany	12	119 0.7×	133 0.8×	86 0.9×	133 1.8×	66 1.0×	30	353
Ruili Shen China	8	242 1.4×	240 1.5×	78 0.9×	63 0.8×	159 2.5×	9	394
Marie Ludwig Germany	6	270 1.5×	202 1.2×	26 0.3×	155 2.0×	201 3.2×	7	568
Yiping Peng China	11	140 0.8×	82 0.5×	53 0.6×	135 1.8×	60 1.0×	20	350
Guillaume Lassalle France	13	99 0.6×	49 0.3×	129 1.4×	257 3.4×	75 1.2×	22	436
Vahid Khosravi Iran	14	220 1.2×	222 1.3×	63 0.7×	60 0.8×	70 1.1×	51	613

Countries citing papers authored by Weibo Ma

Since Specialization

Citations

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

Fields of papers citing papers by Weibo Ma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weibo Ma

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

All Works

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

11 of 11 papers shown

Ma, Weibo, et al.. (2026). Variations in source-originated health risks of soil heavy metals in an open-pit mining area, northern China from 2014 to 2023. Journal of Environmental Sciences.

Li, Jie, Zhifeng Wu, Kun Tan, et al.. (2025). GF-5 hyperspectral inversion of soil parameters using a VAE style-based spectral fusion model. Computers and Electronics in Agriculture. 233. 110214–110214. 1 indexed citations

Ma, Weibo, Nan Wang, Lijun Zhao, et al.. (2025). Detection of driving factors and critical thresholds for carbon sequestration capacity in urban agglomerations using a combined causal inference and machine learning approach. GIScience & Remote Sensing. 62(1). 1 indexed citations

Tian, Jiarong, et al.. (2022). Quality assessment of shrub observation data based on TLS: A case of revegetated shrubland, Southern Qinghai‐Tibetan Plateau. Land Degradation and Development. 34(5). 1570–1581.

Tan, Kun, Weibo Ma, Lihan Chen, et al.. (2020). Estimating the distribution trend of soil heavy metals in mining area from HyMap airborne hyperspectral imagery based on ensemble learning. Journal of Hazardous Materials. 401. 123288–123288. 168 indexed citations

Tian, Jiarong, et al.. (2020). Feasibility of terrestrial laser scanning for quantification of vegetation structure parameters of restored sandy land in the southern Qinghai–Tibeten Plateau. Land Degradation and Development. 32(4). 1667–1679. 4 indexed citations

Tan, Kun, et al.. (2019). Random forest–based estimation of heavy metal concentration in agricultural soils with hyperspectral sensor data. Environmental Monitoring and Assessment. 191(7). 446–446. 70 indexed citations

Tian, Jiarong, et al.. (2019). A Novel Tree Height Extraction Approach for Individual Trees by Combining TLS and UAV Image-Based Point Cloud Integration. Forests. 10(7). 537–537. 42 indexed citations

Li, Haidong, Jixi Gao, Qingwu Hu, et al.. (2019). Assessing revegetation effectiveness on an extremely degraded grassland, southern Qinghai-Tibetan Plateau, using terrestrial LiDAR and field data. Agriculture Ecosystems & Environment. 282. 13–22. 29 indexed citations

10.

Ma, Weibo, Kun Tan, & Peijun Du. (2016). Predicting soil heavy metal based on Random Forest model. 4331–4334. 22 indexed citations

11.

Ma, Weibo, Kun Tan, Qian Du, Jianwei Ding, & Qingwu Yan. (2016). Estimating soil heavy metal concentration using hyperspectral data and weighted K-NN method. 1–4. 7 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.

Explore authors with similar magnitude of impact