Xin Bai

777 citations
76 papers · 560 · h-index 14

Impact in

Papers in

Xin Bai

62 papers receiving 541 citations

Peers

Xin Bai
Comparison fields: 5 of 97
  • Computer Networks and Communications 146
  • Biophysics 31
  • Ocean Engineering 71
  • Metals and Alloys 11
  • Pulmonary and Respiratory Medicine 70
Replace Ke Huang with:
Ke Huang China
Mauricio D. Pérez Sweden
Jiren Liu China
Shiqi Liu China
T. Sonoda Japan
Byung‐Jun Park South Korea
Mubashir Rehman Pakistan
Takashi Maeda Japan
Haoyu Yu China
Pu Xu China
Xin Bai relative to Ke Huang China Ke Huang's profile →
Citations per field
00.5×11.7×
Ke Huang · 1×
Citations per year

Countries citing papers authored by Xin Bai

Since Specialization
Citations

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

Fields of papers citing papers by Xin Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200884
2 200961
3 199543
4 202228
5 202227
6 201621
7 201719
8 202018
9 202215
10 202215
11 201514
12 202214
13 202113
14 202213
15 202211
16 201011
17 20049
18 20228
19 20038
20 20038

About Xin Bai

Xin Bai is a scholar working on Materials Chemistry, Pulmonary and Respiratory Medicine, Surgery, Electrical and Electronic Engineering and Information Systems, having authored 76 papers that have together received 560 indexed citations. Recurring topics across this work include Prostate Cancer Diagnosis and Treatment (12 papers), Nuclear Materials and Properties (9 papers), Nuclear materials and radiation effects (6 papers), Semiconductor materials and devices (6 papers), Innovative Teaching and Learning Methods (5 papers), Electronic and Structural Properties of Oxides (5 papers), Corrosion Behavior and Inhibition (4 papers) and Gold and Silver Nanoparticles Synthesis and Applications (4 papers). The work is most often cited by research in Computer Networks and Communications (146 citations), Biophysics (31 citations), Ocean Engineering (71 citations), Metals and Alloys (11 citations) and Pulmonary and Respiratory Medicine (70 citations). Xin Bai has collaborated with scholars based in China, United States and Peru. Frequent co-authors include Weijia Jia, Ten H. Lai, Gumuyang Zhang, Zhengyu Jin, Lili Xu, Hao Sun, C. Zhang, Dazhao Zhu, Xiaoxiao Zhang and Denglong Chen. Their work appears in journals such as Abdominal Radiology, Insights into Imaging, Nuclear Instruments and Methods in Physics Research Section B Beam Interactions with Materials and Atoms, Surface and Coatings Technology and Cancer Imaging.

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