Wan-Ling Chang

1.1k citations
27 papers · 682 · h-index 11

Impact in

Papers in

Wan-Ling Chang

24 papers receiving 668 citations

Peers

Wan-Ling Chang
Comparison fields: 5 of 88
  • Human-Computer Interaction 167
  • Social Psychology 430
  • Demography 130
  • Applied Psychology 52
  • Neuropsychology and Physiological Psychology 14
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Juan Fasola United States
Lesa Huber United States
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Citations per year

Countries citing papers authored by Wan-Ling Chang

Since Specialization
Citations

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

Fields of papers citing papers by Wan-Ling Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Wan-Ling Chang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Wan-Ling Chang Line = papers co-authored together Wan-Ling Chang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013199
2 2017161
3 201364
4 201563
5 201336
6 201535
7 201230
8 201422
9 201920
10
Comparison of intravenous patient-controlled analgesia with buprenorphine versus morphine after lumbar spinal fusion--a prospective randomized clinical trial.
200613
11 201511
12 20144
13 20134
14 20133
15 20193
16 20242
17
Impacts of Altruism and Self-efficacy on Knowledge Sharing Behavior and the Moderating effect of Mentor-Intern Interaction: An Empirical Study from Business Internship Students
20082
18 20192
19
Acute and chronic bilateral internal carotid artery occlusion.
20212
20 20182

About Wan-Ling Chang

Wan-Ling Chang is a scholar working on Social Psychology, Artificial Intelligence, Human-Computer Interaction, Occupational Therapy and Communication, having authored 27 papers that have together received 682 indexed citations. Recurring topics across this work include Social Robot Interaction and HRI (11 papers), AI in Service Interactions (10 papers), Innovative Human-Technology Interaction (7 papers), Assistive Technology in Communication and Mobility (4 papers), Acute Ischemic Stroke Management (2 papers), Technology Adoption and User Behaviour (2 papers), Advanced MIMO Systems Optimization (2 papers) and Cerebrovascular and Carotid Artery Diseases (2 papers). The work is most often cited by research in Human-Computer Interaction (167 citations), Social Psychology (430 citations), Demography (130 citations), Applied Psychology (52 citations) and Neuropsychology and Physiological Psychology (14 citations). Wan-Ling Chang has collaborated with scholars based in Taiwan, United States and Sweden. Frequent co-authors include Selma Šabanović, Lesa Huber, Casey C. Bennett, Hee Rin Lee, Jennifer Piatt, Shinichi Nagata, David Hakken, Anna Holm, Jiunn‐Tay Lee and Chi–Rong Li. Their work appears in journals such as EURASIP Journal on Wireless Communications and Networking, AI & Society, Life, Biomedicines and Biological Research For Nursing.

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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