Fenglong Ma

5.6k total citations · 2 hit papers
120 papers, 3.5k citations indexed

About

Fenglong Ma is a scholar working on Artificial Intelligence, Information Systems and Health Information Management. According to data from OpenAlex, Fenglong Ma has authored 120 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 86 papers in Artificial Intelligence, 23 papers in Information Systems and 22 papers in Health Information Management. Recurrent topics in Fenglong Ma's work include Topic Modeling (42 papers), Machine Learning in Healthcare (30 papers) and Artificial Intelligence in Healthcare (20 papers). Fenglong Ma is often cited by papers focused on Topic Modeling (42 papers), Machine Learning in Healthcare (30 papers) and Artificial Intelligence in Healthcare (20 papers). Fenglong Ma collaborates with scholars based in United States, China and Hong Kong. Fenglong Ma's co-authors include Jing Gao, Lü Su, Ye Yuan, Yaqing Wang, Guangxu Xun, Aidong Zhang, Kishlay Jha, Zhiwei Jin, Cao Xiao and Muchao Ye and has published in prestigious journals such as Expert Systems with Applications, Sensors and BMC Bioinformatics.

In The Last Decade

Fenglong Ma

109 papers receiving 3.4k citations

Hit Papers

EANN 2018 2026 2020 2023 2018 2018 200 400 600

Peers

Fenglong Ma
Comparison fields: 5 of 125
  • Artificial Intelligence 2.1k
  • Information Systems 860
  • Sociology and Political Science 857
  • Signal Processing 539
  • Electrical and Electronic Engineering 532
Replace Jie Yin with:
Jie Yin Australia
Young-Koo Lee South Korea
Rahul Katarya India
Zhiping Cai China
Chang-Shing Lee Taiwan
Hongxia Jin United States
Kuan-Ta Chen Taiwan
Irina Rish United States
Yi Mu Australia
Jie Yin Australia View profile →
Citations per field, relative to Fenglong Ma
Fenglong Ma · 1×
Citations per year, relative to Fenglong Ma
Fenglong Ma · 1×

Countries citing papers authored by Fenglong Ma

Since Specialization
Citations

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

Fields of papers citing papers by Fenglong Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fenglong Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Fenglong Ma. A scholar is included among the top collaborators of Fenglong Ma 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 Fenglong Ma. Fenglong Ma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 0
3 1
4 0
5 5
6 3
7 8
8 8
9 6
10 1
11 1
12 22
13 11
14 16
15 2
16 74
17
Deep Hierarchical Knowledge Tracing
12
18 17
19 94
20 57

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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