Tiejun Wang

16.6k total citations · 5 hit papers
339 papers, 12.2k citations indexed

About

Tiejun Wang is a scholar working on Ecology, Mechanical Engineering and Mechanics of Materials. According to data from OpenAlex, Tiejun Wang has authored 339 papers receiving a total of 12.2k indexed citations (citations by other indexed papers that have themselves been cited), including 125 papers in Ecology, 70 papers in Mechanical Engineering and 53 papers in Mechanics of Materials. Recurrent topics in Tiejun Wang's work include Remote Sensing in Agriculture (69 papers), Species Distribution and Climate Change (49 papers) and Wildlife Ecology and Conservation (46 papers). Tiejun Wang is often cited by papers focused on Remote Sensing in Agriculture (69 papers), Species Distribution and Climate Change (49 papers) and Wildlife Ecology and Conservation (46 papers). Tiejun Wang collaborates with scholars based in China, Netherlands and Australia. Tiejun Wang's co-authors include Andrew K. Skidmore, H. Jerry Qi, Martin L. Dunn, Zhen Ding, Roshanak Darvishzadeh, Qian Shi, Xueling Fan, Xiao Kuang, Chao Yuan and Kai Yu and has published in prestigious journals such as Nature, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Tiejun Wang

327 papers receiving 11.9k citations

Hit Papers

Advances in 4D Printing: Materials and Applications 2015 2026 2018 2022 2018 2017 2016 2017 2015 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tiejun Wang China 58 3.6k 2.9k 2.1k 1.8k 1.7k 339 12.2k
Wilhelm Barthlott Germany 65 1.6k 0.5× 1.1k 0.4× 185 0.1× 4.3k 2.4× 1.2k 0.7× 216 24.9k
Maurizio Porfiri United States 64 686 0.2× 2.1k 0.7× 207 0.1× 3.1k 1.7× 645 0.4× 515 14.1k
Hong S. He China 58 2.9k 0.8× 725 0.2× 1.5k 0.7× 499 0.3× 6.6k 3.9× 439 12.3k
Matthias C. Rillig Germany 112 7.8k 2.2× 522 0.2× 966 0.5× 2.8k 1.6× 2.9k 1.7× 543 52.4k
David Thompson United Kingdom 67 1.6k 0.5× 7.9k 2.7× 471 0.2× 2.1k 1.2× 363 0.2× 589 15.9k
R. G. Davies United Kingdom 53 3.9k 1.1× 2.5k 0.9× 492 0.2× 372 0.2× 2.7k 1.6× 180 13.1k
Kiyoshi Takahashi Japan 46 588 0.2× 457 0.2× 1.1k 0.5× 1.8k 1.0× 2.7k 1.6× 370 9.4k
Huimin Xie China 57 938 0.3× 3.1k 1.0× 735 0.3× 3.0k 1.6× 222 0.1× 803 18.4k
Xingguo Han China 80 8.5k 2.4× 285 0.1× 615 0.3× 555 0.3× 6.3k 3.7× 718 25.9k
Jin He China 70 6.2k 1.8× 169 0.1× 704 0.3× 677 0.4× 4.7k 2.8× 568 19.9k

Countries citing papers authored by Tiejun Wang

Since Specialization
Citations

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

Fields of papers citing papers by Tiejun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tiejun Wang

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

All Works

20 of 20 papers shown
1.
Wang, Tiejun, et al.. (2025). Bounding box versus point annotation: The impact on deep learning performance for animal detection in aerial images. ISPRS Journal of Photogrammetry and Remote Sensing. 222. 99–111.
2.
Wang, Tiejun, et al.. (2025). Prey species richness and secondary forest among the key factors shaping Javan leopard distribution. Ecological Indicators. 178. 113879–113879.
4.
Sun, Xin, Wei Li, Tiejun Wang, et al.. (2024). Multi-scale structural design of multilayer magnetic composite materials for ultra-wideband microwave absorption. Carbon. 230. 119604–119604. 22 indexed citations
5.
Qin, Guoliang, et al.. (2024). Local neural operator for solving transient partial differential equations on varied domains. Computer Methods in Applied Mechanics and Engineering. 427. 117062–117062. 2 indexed citations
6.
Darvishzadeh, Roshanak, et al.. (2024). Leaf carbon-based constituents of temperate forest species retrieved using PROSPECT-PRO. Agricultural and Forest Meteorology. 362. 110337–110337. 1 indexed citations
7.
Skidmore, Andrew K., et al.. (2024). Field estimation of fallen deadwood volume under different management approaches in two European protected forested areas. Forestry An International Journal of Forest Research. 97(5). 762–770. 2 indexed citations
8.
Skidmore, Andrew K., Andjin Siegenthaler, Tiejun Wang, et al.. (2022). Mapping the relative abundance of soil microbiome biodiversity from eDNA and remote sensing. SHILAP Revista de lepidopterología. 6. 100065–100065. 16 indexed citations
9.
Duporge, Isla, et al.. (2021). Determination of optimal flight altitude to minimise acoustic drone disturbance to wildlife using species audiograms. Methods in Ecology and Evolution. 12(11). 2196–2207. 58 indexed citations
10.
Sun, Yongle, et al.. (2021). Numerical Analysis of stress evolution in thermal barrier coating system during two-stage growth of heterogeneous oxide. Ceramics International. 47(10). 14311–14319. 16 indexed citations
11.
Kiesman, William F., A. McPherson, Louis J. Diorazio, et al.. (2021). Perspectives on the Designation of Oligonucleotide Starting Materials. Nucleic Acid Therapeutics. 31(2). 93–113. 12 indexed citations
12.
Vrieling, Anton, et al.. (2020). Evaluation of a new 18-year MODIS-derived surface water fraction dataset for constructing Mediterranean wetland open surface water dynamics. Journal of Hydrology. 587. 124956–124956. 11 indexed citations
13.
Sun, Weichao, Andrew K. Skidmore, Tiejun Wang, & Xia Zhang. (2019). Heavy metal pollution at mine sites estimated from reflectance spectroscopy following correction for skewed data. Environmental Pollution. 252(Pt B). 1117–1124. 35 indexed citations
14.
Wan, Peng, Tiejun Wang, Wuming Zhang, et al.. (2019). Quantification of occlusions influencing the tree stem curve retrieving from single-scan terrestrial laser scanning data. Forest Ecosystems. 6(1). 20 indexed citations
15.
Franz, Trenton E. & Tiejun Wang. (2015). Spatiotemporal characterization of soil moisture fields in agricultural areas using cosmic-ray neutron probes and data fusion. EGUGA. 4014. 1 indexed citations
16.
Wang, Tiejun, et al.. (2014). Spotting East African Mammals in Open Savannah from Space. PLoS ONE. 9(12). e115989–e115989. 52 indexed citations
17.
Wang, Tiejun, et al.. (2013). A Sentiment-based Hybrid Model for Stock Return Forecasting. Pacific Asia Conference on Information Systems. 5. 1 indexed citations
18.
Wang, Tiejun. (2012). Analysis and Calculation on the Slide Plate's Temperature of the Pantograph and Catenary System under Current-receiving Condition. Gaoya dianqi. 1 indexed citations
19.
Wang, Tiejun. (2011). Investigation of aircraft hatch door motion accuracy reliability considering hinges abrasion. Journal of Machine Design. 2 indexed citations
20.
Wang, Tiejun. (2009). A Comprison of Operative and Nonoperative Treatment of Clavicle Fracture:a Meta-Analysis.

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

Rankless by CCL
2026