Jiechen Li

514 total citations
14 papers, 431 citations indexed

About

Jiechen Li is a scholar working on Renewable Energy, Sustainability and the Environment, Electrical and Electronic Engineering and Cancer Research. According to data from OpenAlex, Jiechen Li has authored 14 papers receiving a total of 431 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Renewable Energy, Sustainability and the Environment, 6 papers in Electrical and Electronic Engineering and 6 papers in Cancer Research. Recurrent topics in Jiechen Li's work include Electrocatalysts for Energy Conversion (7 papers), Cancer-related molecular mechanisms research (6 papers) and Advanced battery technologies research (5 papers). Jiechen Li is often cited by papers focused on Electrocatalysts for Energy Conversion (7 papers), Cancer-related molecular mechanisms research (6 papers) and Advanced battery technologies research (5 papers). Jiechen Li collaborates with scholars based in China and United States. Jiechen Li's co-authors include Junfeng Xie, Luyao Kang, Fengcai Lei, Wen‐Bin Sun, Wen Gao, Lei Wang, Xiang Feng, Bo Tang, Zimeng Wei and Jingwen Yu and has published in prestigious journals such as Chemical Communications, IEEE Access and BMC Bioinformatics.

In The Last Decade

Jiechen Li

13 papers receiving 429 citations

Peers

Jiechen Li
Jiechen Li
Citations per year, relative to Jiechen Li Jiechen Li (= 1×) peers Qingmei Wang

Countries citing papers authored by Jiechen Li

Since Specialization
Citations

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

Fields of papers citing papers by Jiechen Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiechen Li

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

All Works

14 of 14 papers shown
1.
Li, Jiechen, et al.. (2024). Attention-enhanced multimodal feature fusion network for clothes-changing person re-identification. Complex & Intelligent Systems. 11(1). 7 indexed citations
2.
Sun, Wen‐Bin, Jiechen Li, Wen Gao, et al.. (2022). Recent advances in the pre-oxidation process in electrocatalytic urea oxidation reactions. Chemical Communications. 58(15). 2430–2442. 110 indexed citations
3.
Li, Jiechen, Min Guo, Wen Gao, et al.. (2022). Cerium-induced lattice disordering in Co-based nanocatalysts promoting the hydrazine electro-oxidation behavior. Chemical Communications. 58(48). 6845–6848. 27 indexed citations
4.
Xie, Junfeng, Jiechen Li, Min Guo, et al.. (2022). Acceleration of the pre-oxidation process by tuning the degree of sulfurization for promoted oxygen evolution reaction. Chemical Communications. 58(43). 6360–6363. 34 indexed citations
5.
Sun, Wen‐Bin, Zimeng Wei, Luyao Kang, et al.. (2021). Rapid and Scalable Synthesis of Prussian Blue Analogue Nanocubes for Electrocatalytic Water Oxidation. Chinese Journal of Chemistry. 39(9). 2347–2353. 23 indexed citations
6.
Xie, Junfeng, Xueying Yang, Yameng Wang, et al.. (2021). “Pit-dot” ultrathin nanosheets of hydrated copper pyrophosphate as efficient pre-catalysts for robust water oxidation. Chemical Communications. 57(87). 11517–11520. 23 indexed citations
7.
Li, Jiechen, Xiangxiang Zeng, Yong Dou, Fei Xia, & Shaoliang Peng. (2021). LADstackING: Stacking Ensemble Learning-based Computational Model for Predicting Potential LncRNA-disease Associations. 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). 92. 177–182. 2 indexed citations
8.
Xie, Junfeng, Jun Li, Luyao Kang, et al.. (2021). Molten-Salt-Protected Pyrolytic Approach for Fabricating Borate-Modified Cobalt–Iron Spinel Oxide with Robust Oxygen-Evolving Performance. ACS Sustainable Chemistry & Engineering. 9(43). 14596–14604. 30 indexed citations
9.
Wei, Zimeng, Wen‐Bin Sun, Shanshan Liu, et al.. (2021). Lanthanum-doped α-Ni(OH)2 1D-2D-3D hierarchical nanostructures for robust bifunctional electro-oxidation. Particuology. 57. 104–111. 43 indexed citations
11.
Li, Jiechen, et al.. (2019). A novel target convergence set based random walk with restart for prediction of potential LncRNA-disease associations. BMC Bioinformatics. 20(1). 11 indexed citations
12.
Li, Jiechen, et al.. (2019). A Probabilistic Matrix Factorization Method for Identifying lncRNA-Disease Associations. Genes. 10(2). 126–126. 47 indexed citations
13.
Li, Jiechen, Haochen Zhao, Jingwen Yu, et al.. (2019). A Novel Approach for Potential Human LncRNA-Disease Association Prediction Based on Local Random Walk. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 18(3). 1049–1059. 38 indexed citations
14.
Wang, Lei, et al.. (2019). IIRWR: Internal Inclined Random Walk With Restart for LncRNA-Disease Association Prediction. IEEE Access. 7. 54034–54041. 36 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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