Xiangling Wang

73 total papers · 524 total citations
38 papers, 326 citations indexed

About

Xiangling Wang is a scholar working on Artificial Intelligence, Information Systems and Sociology and Political Science. According to data from OpenAlex, Xiangling Wang has authored 38 papers receiving a total of 326 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 6 papers in Information Systems and 4 papers in Sociology and Political Science. Recurrent topics in Xiangling Wang's work include Text Readability and Simplification (3 papers), Innovative Teaching and Learning Methods (3 papers) and Natural Language Processing Techniques (3 papers). Xiangling Wang is often cited by papers focused on Text Readability and Simplification (3 papers), Innovative Teaching and Learning Methods (3 papers) and Natural Language Processing Techniques (3 papers). Xiangling Wang collaborates with scholars based in China, United Kingdom and United States. Xiangling Wang's co-authors include Yanxia Yang, Michaël Carl, Xiaoling Shi, Xiaolei Wang, Xiangyuan Ye, Zhenming Hu, Ricardo Muñoz Martín, Zhibin Zhu, Fuhong Li and Xiaodong Liu and has published in prestigious journals such as Computers & Education, Frontiers in Psychology and Powder Technology.

In The Last Decade

Xiangling Wang

30 papers receiving 312 citations

Author Peers

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

Author						Papers	Cites
Xiangling Wang	98	71	60	55	41	38	326
Xiao Wei	74 0.8×	44 0.6×	27 0.5×	59 1.1×	37 0.9×	36	339
David Hurley	19 0.2×	29 0.4×	19 0.3×	16 0.3×	76 1.9×	24	284
Ju Wen	88 0.9×	33 0.5×	5 0.1×	21 0.4×	19 0.5×	35	308
Matti Hannus	34 0.3×	10 0.1×	8 0.1×	86 1.6×	15 0.4×	24	364
Abdulfattah Omar	131 1.3×	60 0.8×	8 0.1×	85 1.5×	43 1.0×	67	343
Thomas Ullmann	49 0.5×	8 0.1×	7 0.1×	116 2.1×	11 0.3×	50	358
Saroja Dhanapal	24 0.2×	5 0.1×	31 0.5×	73 1.3×	73 1.8×	35	349
R. John Brockmann	54 0.6×	17 0.2×	29 0.5×	22 0.4×	28 0.7×	30	306
David K. Farkas	55 0.6×	10 0.1×	41 0.7×	40 0.7×	57 1.4×	37	339
Dong-Jin Shin	71 0.7×	107 1.5×	14 0.2×	4 0.1×	52 1.3×	32	349

Countries citing papers authored by Xiangling Wang

Since Specialization

Citations

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

Fields of papers citing papers by Xiangling Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiangling Wang

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