Tian-Lun Zhang

571 total citations · 2 hit papers
16 papers, 377 citations indexed

About

Tian-Lun Zhang is a scholar working on Pollution, Artificial Intelligence and Ecology. According to data from OpenAlex, Tian-Lun Zhang has authored 16 papers receiving a total of 377 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Pollution, 5 papers in Artificial Intelligence and 4 papers in Ecology. Recurrent topics in Tian-Lun Zhang's work include Pharmaceutical and Antibiotic Environmental Impacts (4 papers), Microplastics and Plastic Pollution (4 papers) and Machine Learning and ELM (3 papers). Tian-Lun Zhang is often cited by papers focused on Pharmaceutical and Antibiotic Environmental Impacts (4 papers), Microplastics and Plastic Pollution (4 papers) and Machine Learning and ELM (3 papers). Tian-Lun Zhang collaborates with scholars based in China, Germany and Australia. Tian-Lun Zhang's co-authors include Dong Zhu, Rong Chen, Shikai Guo, Xizhao Wang, Qian Xiang, Yong‐Guan Zhu, Matthias C. Rillig, Xi Yang, Min Qiao and Yanjie Liu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Environmental Science & Technology.

In The Last Decade

Tian-Lun Zhang

13 papers receiving 370 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.

Microplastic diversity increases the abundance of antibiotic resistance genes in soil

2024 83 citations Yifei Wang, Yanjie Liu et al. Nature Communications profile →
Increasing pesticide diversity impairs soil microbial functions

2025 38 citations Lu Xiao, Da Lin et al. Proceedings of the National Academy of Sciences profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tian-Lun Zhang China	8	139	67	43	42	39	16	377
Renju Liu China	11	199 1.4×	62 0.9×	42 1.0×	34 0.8×	39 1.0×	35	426
Mohamed A. Ismail Egypt	15	44 0.3×	131 2.0×	123 2.9×	36 0.9×	8 0.2×	68	741
Charu Gupta India	12	25 0.2×	143 2.1×	18 0.4×	58 1.4×	13 0.3×	36	463
Kexin Sun China	10	60 0.4×	56 0.8×	35 0.8×	8 0.2×	4 0.1×	19	323
Nan Zheng China	12	20 0.1×	51 0.8×	50 1.2×	42 1.0×	40 1.0×	39	496
Sylvain Lespinats France	11	33 0.2×	87 1.3×	77 1.8×	4 0.1×	20 0.5×	27	393
Yuyan Zhang China	8	74 0.5×	41 0.6×	17 0.4×	8 0.2×	16 0.4×	32	324
Mostafa Ezziyyani Morocco	13	42 0.3×	55 0.8×	67 1.6×	19 0.5×	20 0.5×	60	614
Pei‐Chao Wang China	11	54 0.4×	38 0.6×	139 3.2×	63 1.5×	10 0.3×	26	445

Countries citing papers authored by Tian-Lun Zhang

Since Specialization

Citations

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

Fields of papers citing papers by Tian-Lun Zhang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tian-Lun Zhang. 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 Tian-Lun Zhang. The network helps show where Tian-Lun Zhang may publish in the future.

Co-authorship network of co-authors of Tian-Lun Zhang

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

16 of 16 papers shown

Xiao, Lu, Da Lin, Tian-Lun Zhang, et al.. (2025). Increasing pesticide diversity impairs soil microbial functions. Proceedings of the National Academy of Sciences. 122(2). e2419917122–e2419917122. 38 indexed citations breakdown →

Du, Shuai, Da Lin, Tian-Lun Zhang, Haiyan Chu, & Dong Zhu. (2025). Earthworm gut’s potential positive impact on carbon cycle by influencing carbohydrate metabolism and microbial genome size. Fundamental Research. 1 indexed citations

Lin, Da, et al.. (2025). Microplastic Diversity as a Potential Driver of Soil Denitrification Shifts. Environmental Science & Technology. 59(36). 19295–19306. 1 indexed citations

Chen, Xuepeng, Dong Zhu, Mingming Sun, et al.. (2025). Unique plastisphere viromes with habitat-dependent potential for modulating global methane cycle. Nature Communications. 16(1). 8098–8098.

Zhang, Tian-Lun, et al.. (2025). Land-use types impact soil ecosystem functions by altering the soil multitrophic biodiversity and interactions. Soil Ecology Letters. 7(2).

Lin, Da, Jianjun Wang, Tian-Lun Zhang, et al.. (2025). Eco-evolutionary strategies drive viral diversification in nutrient-poor soils across elevation gradients. National Science Review. 12(10). nwaf374–nwaf374.

Xiang, Qian, Da Lin, Zaijun Yang, et al.. (2024). Host genetic variation and specialized metabolites from wheat leaves enriches for phyllosphere Pseudomonas spp. with enriched antibiotic resistomes. The ISME Journal. 18(1). 7 indexed citations

Wang, Yifei, Yanjie Liu, Yanmei Fu, et al.. (2024). Microplastic diversity increases the abundance of antibiotic resistance genes in soil. Nature Communications. 15(1). 9788–9788. 83 indexed citations breakdown →

Wang, Lu, Tian-Lun Zhang, Qian Xiang, et al.. (2023). Selective enrichment of virulence factor genes in the plastisphere under antibiotic and heavy metal pressures. Journal of Hazardous Materials. 465. 133319–133319. 28 indexed citations

10.

Zhang, Tian-Lun, et al.. (2023). Effects of heavy metal and disinfectant on antibiotic resistance genes and virulence factor genes in the plastisphere from diverse soil ecosystems. Journal of Hazardous Materials. 465. 133335–133335. 50 indexed citations

11.

Zhang, Tian-Lun, et al.. (2022). Self-stacking random weight neural network with multi-layer features fusion. International Journal of Machine Learning and Cybernetics. 13(7). 1945–1957. 3 indexed citations

12.

Zhang, Tian-Lun, et al.. (2019). An uncertainty based incremental learning for identifying the severity of bug report. International Journal of Machine Learning and Cybernetics. 11(1). 123–136. 4 indexed citations

13.

Chen, Rong, Shikai Guo, Xizhao Wang, & Tian-Lun Zhang. (2019). Fusion of Multi-RSMOTE With Fuzzy Integral to Classify Bug Reports With an Imbalanced Distribution. IEEE Transactions on Fuzzy Systems. 27(12). 2406–2420. 69 indexed citations

14.

Li, Hui, Xi Yang, Yang Li, Li‐Ying Hao, & Tian-Lun Zhang. (2019). Evolutionary extreme learning machine with sparse cost matrix for imbalanced learning. ISA Transactions. 100. 198–209. 29 indexed citations

15.

Zhang, Tian-Lun, Rong Chen, Xi Yang, & Shikai Guo. (2018). Rich Feature Combination for Cost-Based Broad Learning System. IEEE Access. 7. 160–172. 23 indexed citations

16.

Liu, Yixun, et al.. (2017). Effects of TLR-2/NF-κB signaling pathway on the occurrence of degenerative knee osteoarthritis: an in vivo and in vitro study. Oncotarget. 8(24). 38602–38617. 41 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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