X. S. Ge

529 total citations
11 papers, 454 citations indexed

About

X. S. Ge is a scholar working on Electronic, Optical and Magnetic Materials, Materials Chemistry and Condensed Matter Physics. According to data from OpenAlex, X. S. Ge has authored 11 papers receiving a total of 454 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Electronic, Optical and Magnetic Materials, 8 papers in Materials Chemistry and 6 papers in Condensed Matter Physics. Recurrent topics in X. S. Ge's work include Magnetic and transport properties of perovskites and related materials (6 papers), Multiferroics and related materials (6 papers) and Advanced Condensed Matter Physics (6 papers). X. S. Ge is often cited by papers focused on Magnetic and transport properties of perovskites and related materials (6 papers), Multiferroics and related materials (6 papers) and Advanced Condensed Matter Physics (6 papers). X. S. Ge collaborates with scholars based in China and Czechia. X. S. Ge's co-authors include G. D. Tang, Lin Wu, Qi Wu, Z. Z. Li, Xue Li, Li Ding, Z.Z. Li, Fengxia Hu, Guangheng Wu and Li Ding and has published in prestigious journals such as Applied Physics Letters, Journal of The Electrochemical Society and Physics Reports.

In The Last Decade

X. S. Ge

10 papers receiving 437 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
X. S. Ge China	9	301	262	121	117	80	11	454
Z. Z. Li China	12	378 1.3×	352 1.3×	168 1.4×	178 1.5×	77 1.0×	19	568
Mozaffar Hussain Pakistan	11	180 0.6×	232 0.9×	108 0.9×	75 0.6×	57 0.7×	35	433
Evan M. Benbow United States	10	143 0.5×	186 0.7×	175 1.4×	119 1.0×	95 1.2×	12	413
M. S. Awan Pakistan	14	456 1.5×	397 1.5×	130 1.1×	37 0.3×	90 1.1×	43	568
Eeva‐Leena Rautama Finland	15	324 1.1×	354 1.4×	179 1.5×	211 1.8×	66 0.8×	31	610
Sylvie Malo France	15	331 1.1×	189 0.7×	65 0.5×	101 0.9×	34 0.4×	34	477
Shaojie Feng China	11	383 1.3×	358 1.4×	69 0.6×	223 1.9×	34 0.4×	28	620
Ali Bentouaf Algeria	14	419 1.4×	342 1.3×	154 1.3×	78 0.7×	39 0.5×	47	593
S. S. Modak India	11	312 1.0×	228 0.9×	90 0.7×	30 0.3×	97 1.2×	33	407
Juhong Miao China	14	396 1.3×	300 1.1×	303 2.5×	138 1.2×	203 2.5×	43	693

Countries citing papers authored by X. S. Ge

Since Specialization

Citations

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

Fields of papers citing papers by X. S. Ge

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by X. S. Ge. 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 X. S. Ge. The network helps show where X. S. Ge may publish in the future.

Co-authorship network of co-authors of X. S. Ge

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

All Works

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11 of 11 papers shown

Zhang, Yong‐Wei, et al.. (2025). SOH Prediction of High-Capacity Lithium-Ion Batteries under High-Rate Charging via a TCN-BiGRU Model with Multi-Head Attention. Journal of The Electrochemical Society. 172(10). 100516–100516.

Wu, Lin, Qi Wu, X. S. Ge, et al.. (2018). Unique magnetic properties of perovskite manganites La0.95T0.05Cr Mn1−O3 (T = Ca, Sr). Journal of Magnetism and Magnetic Materials. 460. 501–508. 8 indexed citations

Ding, Li, Lin Wu, X. S. Ge, et al.. (2018). Study of average valence and valence electron distribution of several oxides using X-ray photoelectron spectra. Results in Physics. 9. 866–870. 22 indexed citations

Tang, G. D., Z.Z. Li, Qi Wu, et al.. (2018). Three models of magnetic ordering in typical magnetic materials. Physics Reports. 758. 1–56. 58 indexed citations

Wu, Lin, Qi Wu, X. S. Ge, et al.. (2017). Study of the dependence of the magnetic moment of La _1−x Sr _x MnO ₃ on the Sr doping level x. Europhysics Letters (EPL). 120(2). 27001–27001. 16 indexed citations

Ge, X. S., Z. Z. Li, Qi Wu, et al.. (2017). Magnetic and electrical transport properties of perovskite manganites Pr0.6Sr0.4M xMn1-xO3 (M = Fe, Co, Ni). AIP Advances. 7(12). 16 indexed citations

Ge, X. S., Lin Wu, Z. Z. Li, et al.. (2017). Study of magnetic ordering in the perovskite manganites Pr0.6Sr0.4CrxMn1-xO3. AIP Advances. 7(4). 10 indexed citations

Wu, Lin, Z. Z. Li, G. D. Tang, et al.. (2016). Presence of monovalent oxygen anions in oxides demonstrated using X-ray photoelectron spectra. Applied Physics Letters. 108(2). 54 indexed citations

Ding, Li, Xue Li, Z. Z. Li, et al.. (2016). Study of cation distributions in spinel ferrites M xMn1-xFe2O4 (M=Zn, Mg, Al). AIP Advances. 6(10). 31 indexed citations

10.

Li, Xue, Lin Wu, Z.Z. Li, et al.. (2016). Study of electron transition energies between anions and cations in spinel ferrites using differential UV–vis absorption spectra. Physica B Condensed Matter. 492. 61–64. 10 indexed citations

11.

Wu, Lin, Z. Z. Li, G. D. Tang, et al.. (2015). Method for estimating ionicities of oxides using O1s photoelectron spectra. AIP Advances. 5(9). 229 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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