Wanlu Li

4.2k citations
88 papers · 3.0k indexed · 4 hit papers · h-index 29

Impact in

Papers in

Wanlu Li

86 papers receiving 3.0k citations

Hit Papers

Embracing artificial intelligence (AI) with job crafting: Exploring trickle-down effect and employees’ outcomes 2024 · 55 citations
552019202620212023100200300

Peers

Wanlu Li
Comparison fields: 5 of 171
  • Automotive Engineering 651
  • Neurology 367
  • Biomedical Engineering 1.4k
  • Biomaterials 314
  • Cancer Research 243
Replace Qi Gu with:
Qi Gu China
Nakwon Choi South Korea
Diane C. Darland United States
Jae Min South Korea
Peter Vincent United States
Prabhas V. Moghe United States
Antonella Mangraviti United States
Chen‐Yu Huang Taiwan
Yulan Huang China
Sabata Martino Italy
Wanlu Li relative to Qi Gu China Qi Gu's profile →
Citations per field
00.5×5.0×
Qi Gu · 1×
Citations per year

Countries citing papers authored by Wanlu Li

Since Specialization
Citations

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

Fields of papers citing papers by Wanlu Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Wanlu Li, 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 Wanlu Li Line = papers co-authored together Wanlu Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20258
2 202417
3 20246
4 20240
5 20233
6 202340
7 20231
8 202321
9 20231
10 202214
11 202276
12 202236
13 202218
14 202176
15 202175
16 202127
17 20215
18 202016
19 202027
20 201512

About Wanlu Li

Wanlu Li is a scholar working on Developmental Neuroscience, Neurology, Automotive Engineering, Biomedical Engineering and Health Informatics, having authored 88 papers that have together received 3.0k indexed citations. Recurring topics across this work include 3D Printing in Biomedical Research (24 papers), Additive Manufacturing and 3D Printing Technologies (14 papers), Innovative Microfluidic and Catalytic Techniques Innovation (12 papers), Neuroinflammation and Neurodegeneration Mechanisms (10 papers), Cancer Cells and Metastasis (6 papers), Photoreceptor and optogenetics research (5 papers), Microbial Natural Products and Biosynthesis (4 papers) and Immune cells in cancer (4 papers). The work is most often cited by research in Automotive Engineering (651 citations), Neurology (367 citations), Biomedical Engineering (1.4k citations), Biomaterials (314 citations) and Cancer Research (243 citations). Wanlu Li has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Yu Shrike Zhang, Mian Wang, Luis Santiago Mille, Guo‐Yuan Yang, Yaying Song, Yaohui Tang, Meijie Qu, Tingting He, Guosheng Tang and Zongwei Li. Their work appears in journals such as Advanced Materials, Advanced Healthcare Materials, Bio-Design and Manufacturing, Biofabrication and Journal of Neuroinflammation.

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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