X. D. Zhang

133 total papers · 1.1k total citations
30 papers, 542 citations indexed

About

X. D. Zhang is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Computer Vision and Pattern Recognition. According to data from OpenAlex, X. D. Zhang has authored 30 papers receiving a total of 542 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 7 papers in Statistical and Nonlinear Physics and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in X. D. Zhang's work include Advanced Graph Neural Networks (18 papers), Complex Network Analysis Techniques (7 papers) and Topic Modeling (5 papers). X. D. Zhang is often cited by papers focused on Advanced Graph Neural Networks (18 papers), Complex Network Analysis Techniques (7 papers) and Topic Modeling (5 papers). X. D. Zhang collaborates with scholars based in United States, China and Singapore. X. D. Zhang's co-authors include Wei Cheng, Jingchao Ni, Dongsheng Luo, Bo Zong, Wenchao Yu, Dongkuan Xu, Siyu Huang, Yihang Yin, Haifeng Chen and Suhang Wang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Knowledge and Data Engineering and ACM Transactions on Intelligent Systems and Technology.

In The Last Decade

X. D. Zhang

26 papers receiving 534 citations

Hit Papers

normalize citations (0→100%) normalize lifespan (0→100%) sort by overperformance

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
X. D. Zhang	444	109	107	104	48	30	542
Dongsheng Luo	319 0.7×	82 0.8×	80 0.7×	134 1.3×	55 1.1×	36	503
Chenyi Zhuang	293 0.7×	98 0.9×	137 1.3×	119 1.1×	34 0.7×	29	466
Qi Cao	353 0.8×	114 1.0×	110 1.0×	194 1.9×	30 0.6×	46	566
Zhen Zhang	374 0.8×	107 1.0×	70 0.7×	120 1.2×	39 0.8×	34	528
Minghao Zhao	318 0.7×	197 1.8×	125 1.2×	142 1.4×	32 0.7×	37	610
Guixiang Ma	323 0.7×	99 0.9×	119 1.1×	98 0.9×	56 1.2×	35	539
Taotao Cai	287 0.6×	122 1.1×	87 0.8×	195 1.9×	17 0.4×	32	575
Huiyuan Chen	282 0.6×	158 1.4×	108 1.0×	40 0.4×	104 2.2×	52	596
Qiaoyu Tan	348 0.8×	220 2.0×	98 0.9×	51 0.5×	35 0.7×	27	462
Bilian Chen	165 0.4×	97 0.9×	77 0.7×	88 0.8×	13 0.3×	43	500

Countries citing papers authored by X. D. Zhang

Since Specialization

Citations

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

Fields of papers citing papers by X. D. Zhang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of X. D. Zhang

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

All Works

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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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