Hang Ji

2.6k citations
72 papers · 2.2k indexed · 1 hit paper · h-index 23

Hang Ji

65 papers receiving 2.2k citations

Hit Papers

Artificial Lotus Leaf by Nanocasting5682005202620122019100200300400500

Peers

Hang Ji
Comparison fields: 5 of 125
  • Surfaces, Coatings and Films 534
  • Biomedical Engineering 1.2k
  • Electrical and Electronic Engineering 671
  • Mechanics of Materials 274
  • Structural Biology 13
Replace Xin Ye with:
Xin Ye China
Rafael Taboryski Denmark
Christian Seidel Germany
Bastian E. Rapp Germany
Zuobin Wang China
Yuliang Wang China
Xuezeng Zhao China
Liping Wang United States
Randall M. Erb United States
Kalman B. Migler United States
Hang Ji relative to Xin Ye China Xin Ye's profile →
Citations per field
00.5×1.6×
Xin Ye · 1×
Citations per year

Countries citing papers authored by Hang Ji

Since Specialization
Citations

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

Fields of papers citing papers by Hang Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20260
2 20251
3 20241
4 20243
5 20238
6 202326
7 20236
8 20211
9 20206
10
A SIMULATION LANGUAGE COMPILER BASED MODELING AND SIMULATION FRAMEWORK
20172
11 201666
12 201012
13 200916
14 200852
15 200729
16 2007118
17 20078
18 200660
19 200549
20 199624

About Hang Ji

Hang Ji is a scholar working on Surfaces, Coatings and Films, Electrical and Electronic Engineering and Biomedical Engineering, having authored 72 papers that have together received 2.2k indexed citations. Recurring topics across this work include Surface and Thin Film Phenomena (9 papers), Microfluidic and Capillary Electrophoresis Applications (8 papers), Microfluidic and Bio-sensing Technologies (6 papers), Nanofabrication and Lithography Techniques (6 papers), Semiconductor materials and devices (5 papers), Quantum and electron transport phenomena (5 papers), 3D Printing in Biomedical Research (5 papers) and Electron and X-Ray Spectroscopy Techniques (5 papers). The work is most often cited by research in Surfaces, Coatings and Films (534 citations), Biomedical Engineering (1.2k citations) and Electrical and Electronic Engineering (671 citations). Hang Ji has collaborated with scholars based in China, France and United States. Frequent co-authors include Qi Ouyang, Chunxiong Luo, Luping Xu, Yong Chen, Dapeng Yu, Jianming Xue, Wei Guo, Yugang Wang, Lin Wang and Rui Zhao. Their work appears in journals such as Surface Science, Physical review. B, Condensed matter, Microelectronic Engineering, Biomedical Microdevices and International Journal of Biological Macromolecules.

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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