Xiaobo Ji

1.1k total citations · 1 hit paper
33 papers, 806 citations indexed

About

Xiaobo Ji is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Biomedical Engineering. According to data from OpenAlex, Xiaobo Ji has authored 33 papers receiving a total of 806 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Materials Chemistry, 11 papers in Electrical and Electronic Engineering and 6 papers in Biomedical Engineering. Recurrent topics in Xiaobo Ji's work include Machine Learning in Materials Science (11 papers), Fuel Cells and Related Materials (5 papers) and Layered Double Hydroxides Synthesis and Applications (4 papers). Xiaobo Ji is often cited by papers focused on Machine Learning in Materials Science (11 papers), Fuel Cells and Related Materials (5 papers) and Layered Double Hydroxides Synthesis and Applications (4 papers). Xiaobo Ji collaborates with scholars based in China and United Kingdom. Xiaobo Ji's co-authors include Wencong Lu, Minjie Li, Pengcheng Xu, Liuming Yan, Baohua Yue, Liang Liu, Junya Wang, Qing Zhang, Pan Xiong and Hongjie Zhang and has published in prestigious journals such as The Journal of Chemical Physics, SHILAP Revista de lepidopterología and The Journal of Physical Chemistry B.

In The Last Decade

Xiaobo Ji

32 papers receiving 779 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.

Small data machine learning in materials science

2023 395 citations Pengcheng Xu, Xiaobo Ji et al. npj Computational Materials profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xiaobo Ji China	13	397	240	143	105	66	33	806
Tianlu Zhao China	6	683 1.7×	250 1.0×	258 1.8×	119 1.1×	55 0.8×	8	1.1k
G. Lambard Japan	9	395 1.0×	129 0.5×	119 0.8×	75 0.7×	42 0.6×	16	624
Yanni Wang China	14	218 0.5×	130 0.5×	161 1.1×	95 0.9×	117 1.8×	85	802
Steven K. Kauwe United States	11	743 1.9×	156 0.7×	153 1.1×	107 1.0×	46 0.7×	15	970
Zoran Jovanović Serbia	19	507 1.3×	235 1.0×	64 0.4×	91 0.9×	74 1.1×	77	993

Countries citing papers authored by Xiaobo Ji

Since Specialization

Citations

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

Fields of papers citing papers by Xiaobo Ji

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaobo Ji

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

Lu, Tian, et al.. (2025). Accelerated discovery of high entropy alloys with breakthrough hardness via inverse design strategy. Journal of Alloys and Compounds. 1035. 181564–181564. 1 indexed citations

Yuan, Bo, et al.. (2024). Positioning Aviation Bolts in Narrow Spaces: A Deep Learning-Based Visual Approach at Arbitrary Shooting Angles. IEEE Transactions on Instrumentation and Measurement. 73. 1–15. 1 indexed citations

Ma, Yingying, Pengcheng Xu, Minjie Li, et al.. (2024). The mastery of details in the workflow of materials machine learning. npj Computational Materials. 10(1). 15 indexed citations

Wang, Junya, et al.. (2023). Machine Learning‐Assisted Discovery of 2D Perovskites with Tailored Bandgap for Solar Cells. Advanced Theory and Simulations. 6(6). 6 indexed citations

Xu, Pengcheng, et al.. (2023). MIC-SHAP: An ensemble feature selection method for materials machine learning. Materials Today Communications. 37. 106910–106910. 21 indexed citations

Wang, Junya, Pengcheng Xu, Xiaobo Ji, Minjie Li, & Wencong Lu. (2023). Feature Selection in Machine Learning for Perovskite Materials Design and Discovery. Materials. 16(8). 3134–3134. 34 indexed citations

Xu, Pengcheng, Tian Lu, Xiaobo Ji, Minjie Li, & Wencong Lu. (2023). Machine Learning Combined with Weighted Voting Regression and Proactive Searching Progress to Discover ABO_3-δ Perovskites with High Oxide Ionic Conductivity. The Journal of Physical Chemistry C. 127(34). 17096–17108. 8 indexed citations

Xu, Pengcheng, Xiaobo Ji, Minjie Li, & Wencong Lu. (2023). Small data machine learning in materials science. npj Computational Materials. 9(1). 395 indexed citations breakdown →

Zhao, Juanjuan, Pengcheng Xu, Xiujuan Liu, et al.. (2021). Application of Machine Learning Methods for the Development of AntidiabeticDrugs. Current Pharmaceutical Design. 28(4). 260–271. 3 indexed citations

10.

Ji, Xiaobo, et al.. (2021). Machine Learning Aided Discovery of the Layered Double Hydroxides with the Largest Basal Spacing for Super-Capacitors. SHILAP Revista de lepidopterología. 16(11). 211146–211146. 7 indexed citations

11.

Lu, Tian, et al.. (2021). Machine Learning Model for High-Throughput Screening of Perovskite Manganites with the Highest Néel Temperature. Journal of Superconductivity and Novel Magnetism. 34(7). 1961–1969. 5 indexed citations

12.

Zhang, Qing, et al.. (2017). Data mining assisted materials design of layered double hydroxide with desired specific surface area. Computational Materials Science. 136. 29–35. 21 indexed citations

13.

Zhang, Qing, et al.. (2017). Prediction and synthesis of novel layered double hydroxide with desired basal spacing based on relevance vector machine. Materials Research Bulletin. 93. 123–129. 11 indexed citations

14.

Ji, Xiaobo, et al.. (2016). Data transmission strategies for resource monitoring in cloud computing platforms. Optik. 127(16). 6726–6734. 6 indexed citations

15.

Ji, Xiaobo, Wencong Lu, & Heping Ma. (2012). Shape-controlled synthesis of porous screw-cap-like indium tin oxide and its application for gas sensing. CrystEngComm. 14(21). 7145–7145. 3 indexed citations

16.

Yan, Liuming, et al.. (2009). Intermolecular momentum transfer in poly(perfluorosulfonic acid) membrane hydrated by aqueous solution of methanol: A molecular dynamics simulation study. The Journal of Chemical Physics. 131(22). 224901–224901. 8 indexed citations

17.

Ji, Xiaobo. (2008). Dynamic fault-tolerance service framework for grid. Jisuanji yingyong yanjiu. 1 indexed citations

18.

Yan, Liuming, et al.. (2008). Evaluation of electroosmotic drag coefficient of water in hydrated sodium perfluorosulfonate electrolyte polymer. Journal of Computational Chemistry. 30(9). 1361–1370. 5 indexed citations

19.

Ji, Xiaobo, et al.. (2008). Methanol Distribution and Electroosmotic Drag in Hydrated Poly(perfluorosulfonic) Acid Membrane. The Journal of Physical Chemistry B. 112(49). 15616–15627. 21 indexed citations

20.

Yan, Liuming, Xiaobo Ji, & Wencong Lu. (2008). Molecular Dynamics Simulations of Electroosmosis in Perfluorosulfonic Acid Polymer. The Journal of Physical Chemistry B. 112(18). 5602–5610. 22 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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Breakdown of academic impact, for papers by Tianlu Zhao Breakdown of academic impact, for papers by G. Lambard Breakdown of academic impact, for papers by Yanni Wang Breakdown of academic impact, for papers by Steven K. Kauwe Breakdown of academic impact, for papers by Zoran Jovanović