Ling Shan

47 total papers · 916 total citations
38 papers, 602 citations indexed

About

Ling Shan is a scholar working on Psychiatry and Mental health, Cognitive Neuroscience and Mechanical Engineering. According to data from OpenAlex, Ling Shan has authored 38 papers receiving a total of 602 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Psychiatry and Mental health, 16 papers in Cognitive Neuroscience and 6 papers in Mechanical Engineering. Recurrent topics in Ling Shan's work include Autism Spectrum Disorder Research (16 papers), Child Nutrition and Feeding Issues (13 papers) and Child Development and Digital Technology (6 papers). Ling Shan is often cited by papers focused on Autism Spectrum Disorder Research (16 papers), Child Nutrition and Feeding Issues (13 papers) and Child Development and Digital Technology (6 papers). Ling Shan collaborates with scholars based in China, Netherlands and United Kingdom. Ling Shan's co-authors include Feiyong Jia, Zhida Xu, Lin Du, Wouter Staal, Bing Wang, Junyan Feng, Honghua Li, Tiantian Wang, Hanyu Dong and Xiaojing Yue and has published in prestigious journals such as PEDIATRICS, Frontiers in Psychology and Medicine.

In The Last Decade

Ling Shan

33 papers receiving 593 citations

Author Peers

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

Author						Papers	Cites
Ling Shan	338	318	121	105	87	38	602
Zhida Xu	361 1.1×	356 1.1×	121 1.0×	111 1.1×	86 1.0×	18	601
Bing Wang	335 1.0×	267 0.8×	79 0.7×	98 0.9×	96 1.1×	27	580
Sabri̇ Hergüner	236 0.7×	210 0.7×	17 0.1×	96 0.9×	158 1.8×	41	596
Maria Giuseppina Petruzzelli	127 0.4×	280 0.9×	36 0.3×	142 1.4×	162 1.9×	47	642
Fatima Ismail	138 0.4×	180 0.6×	23 0.2×	59 0.6×	52 0.6×	38	586
Chang-Jiang Yang	230 0.7×	182 0.6×	17 0.1×	74 0.7×	95 1.1×	22	644
Luigi Vetri	261 0.8×	180 0.6×	15 0.1×	149 1.4×	106 1.2×	50	639
Karine Pelc	187 0.6×	237 0.7×	35 0.3×	217 2.1×	91 1.0×	21	544
Eun-Jung Chung	83 0.2×	165 0.5×	34 0.3×	55 0.5×	31 0.4×	52	578
Elizabeth M. Lennon	201 0.6×	53 0.2×	31 0.3×	68 0.6×	59 0.7×	33	657

Countries citing papers authored by Ling Shan

Since Specialization

Citations

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

Fields of papers citing papers by Ling Shan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ling Shan

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

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact