Cheng‐Lu Jiang

994 total citations · 1 hit paper
49 papers, 708 citations indexed

About

Cheng‐Lu Jiang is a scholar working on Materials Chemistry, Mechanics of Materials and Molecular Biology. According to data from OpenAlex, Cheng‐Lu Jiang has authored 49 papers receiving a total of 708 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Materials Chemistry, 14 papers in Mechanics of Materials and 11 papers in Molecular Biology. Recurrent topics in Cheng‐Lu Jiang's work include Energetic Materials and Combustion (12 papers), Single-cell and spatial transcriptomics (7 papers) and Ferroptosis and cancer prognosis (7 papers). Cheng‐Lu Jiang is often cited by papers focused on Energetic Materials and Combustion (12 papers), Single-cell and spatial transcriptomics (7 papers) and Ferroptosis and cancer prognosis (7 papers). Cheng‐Lu Jiang collaborates with scholars based in China, United States and Germany. Cheng‐Lu Jiang's co-authors include Qi‐Jun Liu, Shengke Zhang, Minglei Yan, Hao Chi, Lai Jiang, Guanhu Yang, Yang Zhao, Haiqing Chen, Yun Zeng and Fusheng Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Scientific Reports.

In The Last Decade

Cheng‐Lu Jiang

46 papers receiving 686 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.

Analysis on the convective heat transfer process and performance evaluation of Triply Periodic Minimal Surface (TPMS) based on Diamond, Gyroid and Iwp

2022 151 citations Minglei Yan, Cheng‐Lu Jiang et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Cheng‐Lu Jiang China	14	178	158	139	112	111	49	708
Delin Yang China	17	240 1.3×	207 1.3×	95 0.7×	77 0.7×	102 0.9×	53	692
Changguo Wang China	17	237 1.3×	106 0.7×	268 1.9×	51 0.5×	100 0.9×	75	841
Kaixuan Wang China	18	538 3.0×	218 1.4×	208 1.5×	109 1.0×	101 0.9×	80	1.0k
Tao Ying China	15	129 0.7×	188 1.2×	63 0.5×	63 0.6×	80 0.7×	95	778
Fujun Yang China	14	129 0.7×	116 0.7×	51 0.4×	50 0.4×	42 0.4×	40	646
Oh-Joon Kwon South Korea	12	84 0.5×	254 1.6×	115 0.8×	57 0.5×	81 0.7×	19	736
Jian Sui China	15	152 0.9×	48 0.3×	81 0.6×	62 0.6×	31 0.3×	36	625
C. Ryan Oliver United States	12	190 1.1×	97 0.6×	90 0.6×	111 1.0×	55 0.5×	17	698
Yawei Zhang China	13	127 0.7×	407 2.6×	87 0.6×	115 1.0×	217 2.0×	56	1.1k
Guoqian Zhang China	15	148 0.8×	132 0.8×	54 0.4×	346 3.1×	84 0.8×	32	820

Countries citing papers authored by Cheng‐Lu Jiang

Since Specialization

Citations

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

Fields of papers citing papers by Cheng‐Lu Jiang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cheng‐Lu Jiang. 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 Cheng‐Lu Jiang. The network helps show where Cheng‐Lu Jiang may publish in the future.

Co-authorship network of co-authors of Cheng‐Lu Jiang

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

All Works

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20 of 20 papers shown

Zhang, Shengke, Cheng‐Lu Jiang, Lai Jiang, et al.. (2025). Integrating multi-omics data to identify the role of Aggrephagy-related genes in tumor microenvironment and key tumorigenesis factors of GB from the perspective of single-cell sequencing. Discover Oncology. 16(1). 777–777. 1 indexed citations

Zeng, Wei, et al.. (2024). A semi-empirical parameter predicting the sensitivity of energetic materials from external pressure. Chemical Engineering Journal. 500. 157415–157415. 1 indexed citations

Yan, Minglei, Junjie Zhang, Cong Wang, et al.. (2024). Synergistic engineering of heterostructure and oxygen vacancy in cobalt hydroxide/aluminum oxyhydroxide as bifunctional electrocatalysts for urea-assisted hydrogen production. Journal of Colloid and Interface Science. 677(Pt A). 1069–1079. 13 indexed citations

Wang, Yanru, et al.. (2024). The calculated electronic and optical properties of β-Ga2O3 based on the first principles. Journal of Molecular Modeling. 30(4). 116–116. 9 indexed citations

Jiang, Lai, Shengke Zhang, Cheng‐Lu Jiang, et al.. (2024). Integrative biomarker discovery and immune profiling for ulcerative colitis: a multi-methodological approach. Scientific Reports. 14(1). 24290–24290. 7 indexed citations

Jiang, Lai, Qiang Luo, Shengke Zhang, et al.. (2024). Acupuncture therapy on myofascial pain syndrome: a systematic review and meta-analysis. Frontiers in Neurology. 15. 1374542–1374542. 10 indexed citations

Jiang, Cheng‐Lu, Shengke Zhang, Lai Jiang, et al.. (2024). Precision unveiled: Synergistic genomic landscapes in breast cancer—Integrating single‐cell analysis and decoding drug toxicity for elite prognostication and tailored therapeutics. Environmental Toxicology. 39(6). 3448–3472. 23 indexed citations

Jiang, Lai, Jinyan Yang, Haiqing Chen, et al.. (2024). Mitophagy and clear cell renal cell carcinoma: insights from single-cell and spatial transcriptomics analysis. Frontiers in Immunology. 15. 1400431–1400431. 20 indexed citations

Jiang, Lai, Shengke Zhang, Cheng‐Lu Jiang, et al.. (2024). Role of glycosylation-related gene MGAT1 in pancreatic ductal adenocarcinoma. Frontiers in Immunology. 15. 1438935–1438935. 17 indexed citations

10.

Chen, Haiqing, Hao Chi, Wei Fan, et al.. (2024). Multi-modal transcriptomics: integrating machine learning and convolutional neural networks to identify immune biomarkers in atherosclerosis. Frontiers in Cardiovascular Medicine. 11. 1397407–1397407. 2 indexed citations

11.

Chen, Haiqing, Jie Liu, Lai Jiang, et al.. (2024). Unravelling infiltrating T‐cell heterogeneity in kidney renal clear cell carcinoma: Integrative single‐cell and spatial transcriptomic profiling. Journal of Cellular and Molecular Medicine. 28(12). e18403–e18403. 12 indexed citations

12.

Chen, Haiqing, Jinhao Zhang, Xixi Xie, et al.. (2023). Elucidating the Influence of MPT-driven necrosis-linked LncRNAs on immunotherapy outcomes, sensitivity to chemotherapy, and mechanisms of cell death in clear cell renal carcinoma. Frontiers in Oncology. 13. 1276715–1276715. 13 indexed citations

13.

Zhang, Shengke, Cheng‐Lu Jiang, Lai Jiang, et al.. (2023). Uncovering the immune microenvironment and molecular subtypes of hepatitis B-related liver cirrhosis and developing stable a diagnostic differential model by machine learning and artificial neural networks. Frontiers in Molecular Biosciences. 10. 1275897–1275897. 20 indexed citations

14.

Yan, Minglei, Jietao Jiang, Danlei Chen, et al.. (2023). A state-of-the-art review on biomass-derived carbon materials for supercapacitor applications: From precursor selection to design optimization. The Science of The Total Environment. 912. 169141–169141. 50 indexed citations

15.

Chi, Hao, Haiqing Chen, Rui Wang, et al.. (2023). Proposing new early detection indicators for pancreatic cancer: Combining machine learning and neural networks for serum miRNA-based diagnostic model. Frontiers in Oncology. 13. 1244578–1244578. 44 indexed citations

16.

Chi, Hao, Yan Yang, Cheng‐Lu Jiang, et al.. (2023). Unraveling the role of disulfidptosis-related LncRNAs in colon cancer: a prognostic indicator for immunotherapy response, chemotherapy sensitivity, and insights into cell death mechanisms. Frontiers in Molecular Biosciences. 10. 1254232–1254232. 41 indexed citations

17.

Zhang, Shengke, Cheng‐Lu Jiang, Lai Jiang, et al.. (2023). Construction of a diagnostic model for hepatitis B-related hepatocellular carcinoma using machine learning and artificial neural networks and revealing the correlation by immunoassay. SHILAP Revista de lepidopterología. 16. 200271–200271. 48 indexed citations

18.

Liu, Weihong, Wei Zeng, Han Qin, et al.. (2019). First-principle calculations of electronic, vibrational, and thermodynamic properties of 1,3-diamino-2,4,6-trinitrobenzene. Journal of Molecular Modeling. 25(12). 356–356. 8 indexed citations

19.

Zhong, Mi, Han Qin, Qi‐Jun Liu, et al.. (2019). A systematic study of the surface structures and energetics of CH3NO2 surfaces by first-principles calculations. Journal of Molecular Modeling. 25(6). 164–164. 3 indexed citations

20.

Zhong, Mi, Han Qin, Qi‐Jun Liu, et al.. (2018). Effects of different dopant elements on structures, electronic properties, and sensitivity characteristics of nitromethane. Journal of Molecular Modeling. 24(10). 295–295. 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.

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