Mengting Wu

1.9k total citations · 1 hit paper
80 papers, 1.3k citations indexed

About

Mengting Wu is a scholar working on Artificial Intelligence, Mechanical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Mengting Wu has authored 80 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 14 papers in Mechanical Engineering and 12 papers in Electrical and Electronic Engineering. Recurrent topics in Mengting Wu's work include Geochemistry and Geologic Mapping (12 papers), Mineral Processing and Grinding (12 papers) and Laser-induced spectroscopy and plasma (7 papers). Mengting Wu is often cited by papers focused on Geochemistry and Geologic Mapping (12 papers), Mineral Processing and Grinding (12 papers) and Laser-induced spectroscopy and plasma (7 papers). Mengting Wu collaborates with scholars based in China, Taiwan and Australia. Mengting Wu's co-authors include Chongchong Qi, Qiusong Chen, Lei Guo, Jue Chen, Juan Fan, Yuhong Yao, Lei Zhang, Weijie Xu, Sahar Shabbir and Jin Yu and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Bioresource Technology.

In The Last Decade

Mengting Wu

72 papers receiving 1.3k citations

Hit Papers

align trajectories

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.

Global and regional patterns of soil metal(loid) mobility and associated risks

2025 43 citations Chongchong Qi, Tao Hu et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mengting Wu China	21	216	213	174	160	141	80	1.3k
Lili Zhang China	18	108 0.5×	87 0.4×	42 0.2×	161 1.0×	31 0.2×	132	1.4k
Siqi Wang China	31	166 0.8×	353 1.7×	42 0.2×	306 1.9×	27 0.2×	184	3.0k
Zhihua Zhang China	27	257 1.2×	149 0.7×	40 0.2×	449 2.8×	35 0.2×	171	2.5k
Wenyi Chen China	22	98 0.5×	362 1.7×	20 0.1×	263 1.6×	62 0.4×	145	1.6k
Yanli Sun China	25	64 0.3×	459 2.2×	88 0.5×	181 1.1×	12 0.1×	120	1.9k
Magdalena Woźniak Poland	7	48 0.2×	213 1.0×	32 0.2×	130 0.8×	15 0.1×	21	1.7k
Sihong Liu China	32	155 0.7×	448 2.1×	9 0.1×	277 1.7×	375 2.7×	179	3.3k
Paweł Turek Poland	7	44 0.2×	213 1.0×	30 0.2×	132 0.8×	15 0.1×	19	1.7k
Jerzy Szakiel Poland	5	44 0.2×	213 1.0×	30 0.2×	132 0.8×	15 0.1×	9	1.7k

Countries citing papers authored by Mengting Wu

Since Specialization

Citations

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

Fields of papers citing papers by Mengting Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mengting Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Mengting Wu. A scholar is included among the top collaborators of Mengting Wu 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 Mengting Wu. Mengting Wu 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:

20 of 20 papers shown

Wu, Mengting, et al.. (2025). Monitoring Chrysanthemum Cultivation Areas Using Remote Sensing Technology. Horticulturae. 11(8). 933–933.

Xiao, Lan, Mengting Wu, Shuang‐Ying Wu, Shijie Xu, & Zhili Chen. (2025). A novel concentrating inverted bifacial photovoltaic system. Energy. 326. 136383–136383.

Li, Ziyi, et al.. (2025). Nanocapsules with dual-targeting of cell and mitochondria functions for enhanced hypoxia-activated drug therapy. Chemical Communications. 61(22). 4375–4378. 1 indexed citations

Wu, Mengting, et al.. (2025). Self-cruising Garbage Collection Ship Based on Improved A* Algorithm. Journal of Physics Conference Series. 3004(1). 12087–12087.

Qi, Chongchong, Tao Hu, Mengting Wu, et al.. (2025). Machine learning and soil spectra enable rapid identification of multiple heavy metals at the continental scale. Journal of environmental chemical engineering. 13(5). 117895–117895.

Hu, Tao, Chongchong Qi, Mengting Wu, et al.. (2024). Classification of arsenic contamination in soil across the EU by vis-NIR spectroscopy and machine learning. International Journal of Applied Earth Observation and Geoinformation. 134. 104158–104158. 5 indexed citations

Zhou, Min, et al.. (2024). Rapid estimation of soil Mn content by machine learning and soil spectra in large-scale. Ecological Informatics. 81. 102615–102615. 26 indexed citations

Qi, Chongchong, Tao Hu, Mengting Wu, et al.. (2024). Prediction of copper contamination in soil across EU using spectroscopy and machine learning: Handling class imbalance problem. SHILAP Revista de lepidopterología. 10. 100728–100728. 4 indexed citations

Wu, Mengting, Chongchong Qi, Sybil Derrible, et al.. (2024). Regional and global hotspots of arsenic contamination of topsoil identified by deep learning. Communications Earth & Environment. 5(1). 32 indexed citations

10.

Tang, Dongjie, Fang Hao, Xiaoying Shi, et al.. (2023). Mesoproterozoic Molar Tooth Structure Related to Increased Marine Oxygenation. Journal of Geophysical Research Biogeosciences. 128(1). 12 indexed citations

11.

Qi, Chongchong, et al.. (2023). Application of deep neural network in the strength prediction of cemented paste backfill based on a global dataset. Construction and Building Materials. 391. 131827–131827. 13 indexed citations

12.

Zhang, Zhijie, Chang Liu, Mengting Wu, et al.. (2023). Treating solid tumors with TCR-based chimeric antigen receptor targeting extra domain B-containing fibronectin. Journal for ImmunoTherapy of Cancer. 11(8). e007199–e007199. 11 indexed citations

13.

Liu, Yuxuan, Binglei Jiao, Nana Chang, et al.. (2023). Direct recycling of spent Li-ion batteries: Challenges and opportunities toward practical applications. iScience. 26(9). 107676–107676. 59 indexed citations

14.

Zhang, Yuan‐Wei, Mu‐Min Cao, Yingjuan Li, et al.. (2023). The Preventive Effects of Probiotic Prevotella histicola on the Bone Loss of Mice with Ovariectomy-Mediated Osteoporosis. Microorganisms. 11(4). 950–950. 14 indexed citations

15.

Wu, Mengting, et al.. (2022). Deep learning-based optimization using a limited number of experiments for roll-to-roll UV embossing. The International Journal of Advanced Manufacturing Technology. 120(9-10). 5955–5967. 2 indexed citations

16.

Su, Lianghu, et al.. (2021). Effects of FeSO4 dosage on nitrogen loss and humification during the composting of cow dung and corn straw. Bioresource Technology. 341. 125867–125867. 58 indexed citations

17.

Wu, Mengting, et al.. (2019). Optimized Base Station Allocation for Platooning Vehicles Underway by Using Deep Learning Algorithm Based on 5G-V2X. 1–2. 8 indexed citations

18.

Tang, Mingyu, et al.. (2019). Fresnel incoherent digital holography with large field-of-view. Acta Physica Sinica. 68(10). 104204–104204. 2 indexed citations

19.

Liu, Jun, Mengting Wu, Mingqing Wang, et al.. (2018). Predicting the content of camelina protein using FT-IR spectroscopy coupled with SVM model. Cluster Computing. 22(S4). 8401–8406. 8 indexed citations

20.

Wang, Lei, et al.. (2017). Using Partial Coverage Strategy to Prolong Service Time of a Cluster-Based Wireless Sensor Network. 網際網路技術學刊. 18(2). 371–377. 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.

Explore authors with similar magnitude of impact