Chang Lu

49 total papers · 504 total citations
27 papers, 292 citations indexed

About

Chang Lu is a scholar working on Computer Science Applications, Developmental and Educational Psychology and Artificial Intelligence. According to data from OpenAlex, Chang Lu has authored 27 papers receiving a total of 292 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Science Applications, 6 papers in Developmental and Educational Psychology and 5 papers in Artificial Intelligence. Recurrent topics in Chang Lu's work include Online Learning and Analytics (10 papers), Teaching and Learning Programming (5 papers) and Innovative Teaching and Learning Methods (4 papers). Chang Lu is often cited by papers focused on Online Learning and Analytics (10 papers), Teaching and Learning Programming (5 papers) and Innovative Teaching and Learning Methods (4 papers). Chang Lu collaborates with scholars based in Canada, China and Macao. Chang Lu's co-authors include Maria Cutumisu, Carrie Demmans Epp, Okan Bulut, Jinnie Shin, Chen Fu, Georg M. Schmölzer, Catherine Adams, Amin Mousavi, Qing Lin and Xiaoqing He and has published in prestigious journals such as Journal of Colloid and Interface Science, International Journal of Molecular Sciences and Computers in Human Behavior.

In The Last Decade

Chang Lu

25 papers receiving 276 citations

Author Peers

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

Author						Papers	Cites
Chang Lu	177	80	65	39	35	27	292
Sean Michael Morris	53 0.3×	40 0.5×	48 0.7×	34 0.9×	43 1.2×	32	294
Jos Tolboom	166 0.9×	106 1.3×	81 1.2×	21 0.5×	41 1.2×	24	263
Anita Juškevičienė	137 0.8×	73 0.9×	102 1.6×	31 0.8×	86 2.5×	19	295
Guillaume Durand	125 0.7×	58 0.7×	43 0.7×	73 1.9×	71 2.0×	42	319
Melanie Peffer	40 0.2×	64 0.8×	118 1.8×	10 0.3×	28 0.8×	19	277
Wongyu Lee	93 0.5×	37 0.5×	64 1.0×	18 0.5×	66 1.9×	27	288
Nicole Hutchins	168 0.9×	91 1.1×	43 0.7×	31 0.8×	40 1.1×	22	265
Giuseppe Chiazzese	125 0.7×	85 1.1×	38 0.6×	18 0.5×	44 1.3×	33	263
Zhichun Liu	92 0.5×	155 1.9×	71 1.1×	47 1.2×	43 1.2×	24	297
William Finzer	93 0.5×	45 0.6×	80 1.2×	68 1.7×	60 1.7×	25	329

Countries citing papers authored by Chang Lu

Since Specialization

Citations

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

Fields of papers citing papers by Chang Lu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chang Lu

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