Delong Yang

1.6k total citations
74 papers, 1.1k citations indexed

About

Delong Yang is a scholar working on Plant Science, Molecular Biology and Biomedical Engineering. According to data from OpenAlex, Delong Yang has authored 74 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Plant Science, 18 papers in Molecular Biology and 16 papers in Biomedical Engineering. Recurrent topics in Delong Yang's work include Wheat and Barley Genetics and Pathology (17 papers), Genetic Mapping and Diversity in Plants and Animals (9 papers) and Genetics and Plant Breeding (9 papers). Delong Yang is often cited by papers focused on Wheat and Barley Genetics and Pathology (17 papers), Genetic Mapping and Diversity in Plants and Animals (9 papers) and Genetics and Plant Breeding (9 papers). Delong Yang collaborates with scholars based in China, United States and Germany. Delong Yang's co-authors include Mengfei Li, Ruilian Jing, Xiaoping Chang, Wei Li, Hongbo Cheng, Shouxi Chai, Lei Chang, Yuan Liu, Paul W. Paré and Wei Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, Genetics and International Journal of Molecular Sciences.

In The Last Decade

Delong Yang

70 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Delong Yang China	19	802	246	216	207	78	74	1.1k
Muhammad Aasım Türkiye	18	908 1.1×	589 2.4×	89 0.4×	113 0.5×	65 0.8×	103	1.3k
Baohua Wang China	23	1.1k 1.3×	545 2.2×	41 0.2×	140 0.7×	118 1.5×	106	1.7k
Songtao Liu China	16	368 0.5×	170 0.7×	57 0.3×	63 0.3×	16 0.2×	44	659
Xufeng Wang China	19	690 0.9×	476 1.9×	69 0.3×	389 1.9×	53 0.7×	44	1.1k
Lin‐Hui Yu China	24	1.7k 2.1×	829 3.4×	83 0.4×	77 0.4×	38 0.5×	39	2.1k
Naomi Hayashi Japan	17	994 1.2×	989 4.0×	22 0.1×	79 0.4×	282 3.6×	23	1.8k
Ahmad Ismaili Iran	19	613 0.8×	287 1.2×	92 0.4×	24 0.1×	50 0.6×	83	965
Guangyuan Lu China	20	1.0k 1.3×	462 1.9×	36 0.2×	81 0.4×	78 1.0×	54	1.3k
Guozhi Zhou China	21	1.1k 1.4×	929 3.8×	23 0.1×	32 0.2×	70 0.9×	62	1.8k
Jianyu Zhao China	21	929 1.2×	668 2.7×	24 0.1×	259 1.3×	30 0.4×	62	1.3k

Countries citing papers authored by Delong Yang

Since Specialization

Citations

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

Fields of papers citing papers by Delong Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Delong Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Delong Yang. A scholar is included among the top collaborators of Delong Yang 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 Delong Yang. Delong Yang 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

Yu, Xiang, Yue Qin, Yimei Liao, et al.. (2025). Simple is what you need for efficient and accurate medical image segmentation. Expert Systems with Applications. 304. 130687–130687.

Wang, Tianyu, Zhan Li, Delong Yang, et al.. (2025). Quantitative phase imaging based on Fourier ptychographic microscopy: advances, applications, and perspectives. 2(3). 32001–32001. 1 indexed citations

Yang, Delong, et al.. (2025). Batch-FPM: Random Batch-Update Multi-Parameter Physical Fourier Ptychography Neural Network. IEEE Transactions on Computational Imaging. 11. 864–871. 3 indexed citations

Yang, Delong, et al.. (2025). Boosting the synthesis of 3-acetamido-5-acetylfuran from N-acetyl-D-glucosamine: understanding the significant role of homogeneous Cl-. SHILAP Revista de lepidopterología. 4(1). 1 indexed citations

Yang, Delong, et al.. (2024). Single-shot intensity diffraction tomography via polarization-multiplexed LED illumination. Optics Letters. 49(17). 4859–4859.

Yang, Delong, et al.. (2024). Hybrid deep-learning and physics-based neural network for programmable illumination computational microscopy. Advanced Photonics Nexus. 3(5). 5 indexed citations

Zhang, Long, Yanyan Zhang, Peipei Zhang, et al.. (2024). Genome-wide identification and analysis of the GGCT gene family in wheat. BMC Genomics. 25(1). 32–32. 6 indexed citations

Yu, Mingming, et al.. (2024). Microwave-assisted atmospheric alkaline leaching process and leaching kinetics of rare earth melt electrolysis slag. Heliyon. 10(11). e32278–e32278. 6 indexed citations

Chen, Tao, et al.. (2023). Meta‐QTL analysis and in‐silico transcriptome assessment for controlling chlorophyll traits in common wheat. The Plant Genome. 16(1). e20294–e20294. 11 indexed citations

10.

Wang, Caixiang, Juanjuan Liu, Xiaoyu Xie, et al.. (2022). GhAP1‐D3 positively regulates flowering time and early maturity with no yield and fiber quality penalties in upland cotton. Journal of Integrative Plant Biology. 65(4). 985–1002. 31 indexed citations

11.

Zhang, Peipei, et al.. (2022). Genome-wide identification and expression analysis of the GSK gene family in wheat (Triticum aestivum L.). Molecular Biology Reports. 49(4). 2899–2913. 8 indexed citations

12.

Li, Mengfei, et al.. (2020). Temperature-regulated anatomical and gene-expression changes in Sinopodophyllum hexandrum seedlings. Industrial Crops and Products. 152. 112479–112479. 14 indexed citations

13.

Su, Junji, Caixiang Wang, Qi Ma, et al.. (2020). An RTM-GWAS procedure reveals the QTL alleles and candidate genes for three yield-related traits in upland cotton. BMC Plant Biology. 20(1). 416–416. 26 indexed citations

14.

Li, Mengfei, et al.. (2018). High-elevation cultivation increases anti-cancer podophyllotoxin accumulation in Podophyllum hexandrum. Industrial Crops and Products. 121. 338–344. 30 indexed citations

15.

Li, Mengfei, et al.. (2018). Mapping podophyllotoxin biosynthesis and growth-related transcripts with high elevation in Sinopodophyllum hexandrum. Industrial Crops and Products. 124. 510–518. 23 indexed citations

16.

Li, Ge, et al.. (2017). Antioxidant capacity, bioactive compounds, and volatile constituents of flowers of Hypericum perforatum at different harvest stages.. Acta Pratacultural Science. 26(9). 66–74. 2 indexed citations

17.

Yang, Delong. (2012). Analysis of Genetic Diversity of Some Introduced and Domestic Winter Wheat Cultivars. Xibei nongye xuebao. 1 indexed citations

18.

Li, Wei, et al.. (2009). Production podophyllotoxin by root culture of Podophyllum hexandrum Royle. Electronic journal of biology. 5(2). 8 indexed citations

19.

Li, Mengfei, Wei Li, Delong Yang, & Ping Sun. (2009). The Dormancy Mechanism and Bioactivity of Hydroquinone Extracted from Podophyllum hexandrum Royle Seed. Electronic journal of biology. 5(1). 4 indexed citations

20.

Yang, Delong, et al.. (2005). A primary study on anther culture of almond. Gansu Nongye Daxue xuebao. 40(5). 617–620. 1 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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